CopperCube Cold Storage is a temperature-controlled warehousing and handling business based in Lusaka, Zambia, focused on helping importers, wholesalers, manufacturers, and logistics partners protect the quality and compliance of frozen and refrigerated goods. The core value proposition is simple but critical: customers lose money when shipments sit too long outside temperature control or when cold facilities are fully booked during peak demand. CopperCube reduces those losses through reliable cold-room storage, documented temperature management, and fast, professional handling options.
This plan presents a complete investment-level strategy for CopperCube Cold Storage, including market opportunity in Zambia, differentiated positioning, operational design, commercial go-to-market, and a five-year financial model. The financial projections use the attached model as the source of truth, including revenue, cost structure, cash flow, break-even, and funding plan. Based on the model, CopperCube reaches break-even revenue within Year 1 (timing shown as Month 1 within Year 1) through the capacity ramp and a blended revenue mix of cold storage space and value-added handling services.
The investment request is built to support Q3 startup and initial operating runway until cash generation stabilizes. By Year 1, CopperCube targets total revenue of ZK2,400,000, with projected net income of ZK8,439 and closing cash of ZK128,439. The model indicates a strong improvement in profitability over the five-year horizon, driven by utilization growth, repeat contracts, and operational scaling with disciplined cost management.
Executive Summary
Business overview and purpose
CopperCube Cold Storage will provide frozen and refrigerated storage services in Lusaka, Zambia. The company will operate a temperature-controlled facility designed to reduce product spoilage, maintain food safety and cold-chain standards, and provide predictable logistics for customers who must move goods quickly from inbound to outbound distribution. The immediate problem in Zambia’s cold logistics market is not simply the absence of storage—it is the inconsistency of availability, the risk of temperature excursions during handling, and the cost of uncertainty when customers cannot guarantee dispatch dates.
CopperCube addresses these issues by combining three operational capabilities:
- Cold storage capacity billed on a pallet/day basis at ZMW 22 per pallet per day (used in the model as part of revenue generation).
- Value-added handling billed per job at ZMW 180 per handling job, enabling customers to offload, stage, and dispatch without tying up their internal labor.
- Temperature monitoring and documented handling workflows, supporting both food and pharma-grade compliance expectations in a practical, audit-ready way.
CopperCube’s commercial focus is on B2B customers with recurring temperature-sensitive needs. The ideal customer base includes:
- Food wholesalers and distributors needing short- to medium-term frozen and refrigerated storage.
- Fresh produce exporters managing cold staging before onward distribution.
- Pharma and medical supply distributors requiring controlled conditions and disciplined handling.
- Manufacturers that need consistent cold storage during production cycles and distribution planning.
Location, structure, and readiness
CopperCube Cold Storage will be based in Lusaka, Zambia, operating from a dedicated facility near major logistics routes to support fast inbound and outbound handling. The company will be incorporated as a Private Limited Company (Ltd) under Zambian law and is in the process of registration, with registration completion targeted before lease execution and operational scale-up.
All figures in this plan follow the financial model in ZMW (ZK). Where the founder’s qualitative framing includes preliminary numbers, the financial model is used as the authoritative source for monetary figures, revenue, costs, break-even, cash flows, and funding.
Investment opportunity
The investment case is supported by a clear revenue engine: storage revenue scales with pallet/day capacity utilization and handling revenue scales with throughput jobs. The cost structure is designed for operational reliability and margin protection, with gross margin held at 63.6% across the five-year period in the model.
The model projects:
- Year 1 revenue: ZK2,400,000
- Year 1 total operating costs (OpEx): ZK1,300,800 (model)
- Year 1 gross profit: ZK1,527,360
- Year 1 net income: ZK8,439
- Year 1 closing cash: ZK128,439
Although Year 1 net income is modest, the model indicates profitability through disciplined ramping and operational discipline, and it improves strongly in later years:
- Year 3 net income: ZK298,185
- Year 5 net income: ZK1,064,207
The break-even analysis in the model shows:
- Break-even Revenue (annual): ZK2,381,835
- Break-even Timing: Month 1 (within Year 1)
This indicates that even under early ramp assumptions, the business can reach the fixed-cost threshold once the revenue base is established.
Funding requirement and use
CopperCube is requesting total funding of ZK1,700,000 per the financial model. The funding sources are:
- Equity capital: ZK700,000
- Debt principal: ZK1,000,000
The model’s use of funds is detailed as:
- Cold-room installation & commissioning: ZK850,000
- Refrigeration spares and safety gear: ZK90,000
- Security, CCTV, temperature monitoring systems: ZK110,000
- Forklift lease-to-own deposit and handling equipment: ZK150,000
- Licensing, registration, and compliance costs: ZK60,000
- Initial marketing launch and sales materials (setup): ZK25,000
- Working capital deposit for utilities: ZK50,000
- Contingency for setup: ZK65,000
- Operating runway across first 6 months (rent, power, core staff, maintenance, insurance): ZK420,000
- Working capital buffer (fuel, consumables, emergency repairs, and early marketing): ZK180,000
What success looks like (1–5 years)
In the next 12 months, CopperCube’s priority is building a stable and repeatable bookings pipeline to grow from early contracts into a sustained utilization base. By later years, the strategic objective is to increase throughput reliability, strengthen the pharma and food distribution mix, and expand capacity via additional cold-room bay capabilities (reflected indirectly in growth rates and revenue scaling in the model).
The model supports growth in revenue from ZK2,400,000 (Year 1) to ZK5,114,783 (Year 5), with increasing EBITDA margin from 9.4% in Year 1 to 31.5% in Year 5.
Company Description (business name, location, legal structure, ownership)
Company name
The company name is CopperCube Cold Storage.
Business location and operating geography
CopperCube Cold Storage will be based in Lusaka, Zambia. The location is chosen to support fast logistics execution because cold-chain customers in Zambia typically require short lead times between inbound receipt and outbound dispatch. Lusaka’s role as the primary commercial hub makes it a logical center for cold warehousing services serving distributors, exporters, and manufacturing customers with temperature-sensitive goods.
While customers may be sourced across Zambia through wholesalers and logistics partners, CopperCube’s operational footprint is concentrated in Lusaka to reduce handling time, reduce temperature exposure risk, and improve dispatch predictability.
Legal structure and registration status
CopperCube Cold Storage will be registered as a Private Limited Company (Ltd) under Zambian law. The business is in the process of registration. The company will finalize registration before executing the long-term lease commitments required for a dedicated cold storage facility, ensuring compliance readiness for both customers and regulatory stakeholders.
Ownership
CopperCube Cold Storage will have:
- Diya Mansour as the founder/owner and a key operational and finance lead.
- A seed equity investor partner contributing equity financing as defined in the funding plan (model). The financial model specifies equity capital of ZK700,000, which implies the ownership structure includes the founder and the seed investor partner.
Why the ownership model supports cold-chain execution
Cold storage is operationally intensive and requires reliability, disciplined maintenance, and procedural quality. The owner’s background supports these requirements. The founder, Diya Mansour, is a chartered accountant with 12 years of retail finance and supply chain costing experience, including budgeting for inventory and logistics performance across Southern Africa. This matters because cold storage economics hinge on:
- utilization levels and pricing discipline,
- balancing utilities and maintenance costs,
- cash flow timing linked to contract invoicing and dispatch schedules,
- and managing working capital for utilities and operational buffers.
Mission and positioning summary
CopperCube Cold Storage’s mission is to protect product value by preventing cold-chain loss. Its positioning is built on reliability and compliance, not just storage space. This positioning is supported by:
- Temperature-controlled rooms and monitoring systems,
- Documented handling workflows,
- Fast, professional dispatch operations,
- Clear pallet/day billing to provide transparent cost planning for customers.
Company readiness milestones
CopperCube’s operational readiness will follow a sequence consistent with the funding model:
- Commissioning and cold-room setup (funded primarily by cold-room installation & commissioning of ZK850,000, plus refrigeration spares and safety gear of ZK90,000).
- Security and monitoring readiness (including ZK110,000 for CCTV and temperature monitoring systems).
- Handling capability and equipment (including ZK150,000 for a forklift lease-to-own deposit and handling equipment).
- Compliance and licensing (including ZK60,000 for licensing, registration, and compliance).
- Operating runway for the first months (including ZK420,000 operating runway and ZK180,000 working capital buffer).
This sequencing ensures that the facility becomes operational before heavy commercial scaling, while still allowing early sales efforts to begin as marketing and materials are launched.
Products / Services
Core service 1: Cold storage space (pallet/day)
CopperCube Cold Storage offers temperature-controlled storage billed by space usage, using a standard pallet/day pricing structure. The economic basis used in the financial model is storage revenue calculated at ZMW 22 per pallet/day.
This service is designed for customers who need:
- short-term storage between inbound receipt and final dispatch,
- staging for distribution routes,
- seasonal buffer inventory management,
- and stable temperature control to protect food or pharma product integrity.
Cold-chain customers value consistency. Therefore, CopperCube will apply structured intake and dispatch routines, tracking each pallet’s storage location and ensuring that dispatch schedules minimize time spent outside controlled conditions.
Service boundaries and practical assumptions
To keep service quality high and prevent temperature excursions, CopperCube will set operational boundaries for how long pallets can remain in transient handling areas and will enforce documented procedures for receiving and dispatch.
In practice, this means:
- Receiving: controlled transfer from unloading area to storage location.
- Temperature verification: monitoring equipment checks aligned with internal quality protocols.
- Staging: pallets are moved to staging zones only when dispatch windows are confirmed.
- Dispatch: pallets are loaded promptly with handling support where requested.
The revenue model uses cold storage capacity as a recurring income stream. Over the five-year projection, cold storage space contributes:
- Year 1: ZK1,976,471
- Year 2: ZK2,113,023
- Year 3: ZK2,659,327
- Year 4: ZK3,346,872
- Year 5: ZK4,212,175
Core service 2: Value-added handling (per job)
CopperCube offers optional value-added handling billed per job. The financial model uses ZMW 180 per handling job and assumes jobs increase alongside throughput and utilization.
Handling is sold as an add-on because some customers prefer to manage their own labor and some prefer total fulfillment support. CopperCube’s handling service supports customers by providing:
- efficient offloading and storage,
- staging preparation for quick dispatch,
- and organized pallet management to prevent loss, misplacement, or delays.
Handling workflow example (typical day)
A representative workflow that CopperCube will standardize is:
- Order confirmation: customer confirms dispatch timing.
- Inbound scheduling: intake window agreed; unloading occurs within a controlled timeframe.
- Pallet verification: documentation and pallet counts verified.
- Storage placement: pallets placed in designated cold-room zones.
- Staging: pallets moved to staging areas ahead of dispatch with temperature monitoring requirements.
- Dispatch: pallets loaded and sealed as required.
This reduces customer risk because it minimizes time in uncontrolled conditions and ensures dispatch readiness.
Over the five-year projection, value-added handling contributes:
- Year 1: ZK423,529
- Year 2: ZK452,790
- Year 3: ZK569,855
- Year 4: ZK717,186
- Year 5: ZK902,608
Revenue mix and why it matters
The combined revenue stream in the financial model is:
- Total Revenue: ZK2,400,000 (Year 1), increasing to ZK5,114,783 (Year 5).
This mix matters because:
- Storage revenue is relatively predictable based on space utilization.
- Handling revenue grows faster when operational throughput improves (more jobs per day, more dispatch activity).
- Together, they support economies of scale: once staffing and equipment are in place, incremental jobs can add revenue without proportional increases in fixed overhead.
The financial model reflects this via a stable gross margin percentage of 63.6% across all years, implying cost control and a consistent unit economics structure.
Optional service enhancement: refrigerated loading/unloading support
The founder’s qualitative framing includes refrigerated loading/unloading as an optional add-on. While the model consolidates handling in the value-added handling revenue stream, the operational intention is the same: CopperCube will reduce customer reliance on their own refrigeration capability by providing professional handling support with cold-chain discipline.
Customer-facing deliverables
To ensure trust and repeat bookings, CopperCube will offer tangible deliverables:
- clear pallet/day billing statements,
- service schedule confirmations,
- handling job documentation (as requested by customers, especially for pharma-grade processes),
- temperature monitoring logs and compliance-ready reporting.
This makes CopperCube’s service legible to procurement managers and operations teams who must justify logistics choices to internal stakeholders.
Market Analysis (target market, competition, market size)
Zambia cold logistics context (problem statement)
Zambia’s import-export activity and domestic distribution require reliable logistics for temperature-sensitive categories such as:
- frozen foods,
- refrigerated dairy and meat products,
- fresh produce,
- and pharmaceutical or medical supply items.
In many cold-chain environments, the key economic loss comes from quality degradation, spoilage, rejected shipments, and compliance failures. Even when customers have access to transport, they may not have dependable cold storage capacity close to distribution routes. This creates a market where storage availability and dispatch reliability are both critical.
CopperCube’s analysis is anchored on a practical market reality: customers frequently need storage at short notice, and peak demand periods cause cold facilities to be fully booked, driving delays and temperature risk. Therefore, CopperCube’s market strategy focuses on reliability and fast turnaround.
Target market segments
CopperCube’s target customers in Lusaka and surrounding logistics corridors include four main segments:
1) Food wholesalers and distributors
These customers handle goods with defined temperature ranges and strict quality expectations. They require storage between inbound and distribution routes and value predictable dispatch to preserve shelf life.
2) Fresh produce exporters
Producers and exporters require cold staging to manage timing and reduce deterioration. They also often require fast dispatch to match export shipment windows.
3) Pharma and medical supply distributors
This segment is more compliance-driven. It typically demands controlled access, documented handling, and temperature monitoring. Even if customers do not always require formal audits, they require operational evidence that the cold chain is maintained.
4) Manufacturers
Manufacturers may use cold storage as part of production or packaging cycles. They typically value consistent lead time between internal operations and distribution.
Customer needs and buying criteria
Across all segments, buying decisions tend to cluster around five criteria:
- Temperature reliability: customers need assurance that the stored goods remain within acceptable ranges.
- Availability: customers prefer vendors who have capacity when they need it.
- Speed and turnaround: dispatch reliability protects customer revenue.
- Documentation and compliance readiness: especially for pharma-related customers.
- Price transparency: pallet/day billing and clear job pricing reduce procurement friction.
CopperCube is positioned to score well on all five.
Competition overview
CopperCube’s key competitors in Zambia’s cold logistics environment include:
- Existing cold-room operators around Lusaka
- Public or shared cold storage providers that experience availability constraints during peak weeks.
- Indirect competition: distributors that use limited in-house refrigeration during surges.
The competitive challenge is not only price. Customers choose the provider that reduces operational risk and improves dispatch certainty.
CopperCube’s differentiation strategy
CopperCube differentiates through:
- Temperature reliability with documented monitoring and procedural quality.
- Fast turnaround handling with trained handling workflows.
- Clear pallet/day billing so customers can forecast landed logistics cost.
- Pharma-grade handling procedures including clean handling zones, controlled access, and temperature logs.
This differentiation is designed to reduce customer total cost of risk, not only reduce direct storage cost.
Market sizing approach and practical assumptions
The founder’s qualitative estimate indicates roughly 1,200 active wholesalers/export-related operators in Zambia’s main commercial hubs that plausibly need short-term cold storage at least occasionally.
While the financial model does not explicitly use the 1,200 number as an arithmetic input (instead it uses capacity and revenue per pallet/day and per handling job), this sizing insight supports the realism of demand. It implies that the market is large enough to support:
- repeated short-term bookings,
- multiple customer contracts,
- and capacity ramp-up to utilization levels assumed by the model.
To interpret this sizing for investors:
- not every operator will book every month,
- but the cold storage demand pattern is recurring due to seasonal cycles and distribution timing,
- and capacity can be built gradually while locking in repeat customers.
Competitive response and barriers to entry
Cold storage facilities have natural barriers due to:
- refrigeration installation costs,
- compliance and safety requirements,
- equipment maintenance complexity,
- and the trust needed for temperature-sensitive customers.
CopperCube’s planned investments—security, CCTV, temperature monitoring systems, and refrigeration commissioning—improve the barrier to entry from a customer perspective because customers need evidence of control, not just capacity claims.
Market growth thesis for Zambia (5-year horizon)
The model assumes growing revenue with Year 2 and continuing growth at 25.9% in Years 3–5 (with Year 2 at 6.9%). While the plan is not a macroeconomic forecast, the growth thesis is consistent with operational scaling:
- more customers learn the facility and book repeat storage,
- handling jobs scale with dispatch throughput,
- and utilization improves as availability and reliability become established.
CopperCube’s go-to-market is designed to create a pipeline that sustains growth rates rather than relying only on one-off opportunities.
Risk analysis in market context
Key risks include:
- Price undercutting by competitors during peak periods.
- Customer switching resistance if cold-chain reliability is not demonstrated early.
- Capacity utilization risk if sales ramp is slower than assumed.
Mitigation actions:
- offer clear billing and documented monitoring early to reduce switching risk,
- run onboarding sessions for pharma/food customers to demonstrate temperature workflows,
- build sales contracts with reliable dispatch schedules,
- maintain service quality to reduce adverse experiences and reputational risk.
Marketing & Sales Plan
Go-to-market strategy
CopperCube’s marketing and sales plan is designed for B2B cold logistics where trust, reliability, and operational discipline drive purchase decisions. The company’s outreach will focus on procurement managers, logistics coordinators, and supply chain leads responsible for temperature-sensitive goods.
CopperCube’s channels, consistent with the founder’s positioning, include:
- Direct outreach to wholesalers, pharma distributors, and exporters in Lusaka.
- Partnerships with freight forwarders and truck operators to capture offload and storage demand.
- A basic company website with storage rates, lead times, and temperature-control documentation.
- WhatsApp and email follow-ups for quotes and booking confirmations within a practical response window.
- On-site demonstrations for pharma and food clients to reduce perceived risk.
Sales motion: how deals are closed
CopperCube will run a structured sales process:
Step 1: Lead generation and first contact
- Identify potential customers through distribution networks and logistics activity around Lusaka.
- Initiate contact with logistics managers and procurement leads.
Step 2: Needs assessment call
- Confirm product temperature requirements (frozen vs refrigerated expectations).
- Confirm inbound timing, storage duration needs, and dispatch constraints.
Step 3: Quote and capacity confirmation
- Provide storage rate terms based on pallet/day billing.
- Provide handling job pricing based on job requirements (ZMW 180 per handling job used in the model).
Step 4: Demonstration and trial booking
- Offer a small initial booking window with documented monitoring procedures.
- For pharma customers, conduct an on-site inspection session to show documentation handling.
Step 5: Contracting and repeat scheduling
- Convert trial into month-to-month or short contract agreements.
- Establish recurring dispatch patterns where possible.
This motion reduces customer uncertainty and accelerates repeat utilization, which is required for the revenue ramp reflected in the model.
Marketing plan and customer proof strategy
Marketing for cold storage is not mass marketing—it is credibility marketing. CopperCube will emphasize proof points:
- temperature monitoring approach and logs readiness,
- handling procedures and training,
- security arrangements with CCTV and controlled processes,
- and predictable dispatch readiness.
The website and documents will help procurement managers evaluate the facility quickly and reduce internal approval time.
Pricing and packaging
CopperCube’s pricing will remain transparent and aligned to the model:
- Storage: pallet/day at ZMW 22 per pallet per day (model basis).
- Value-added handling: ZMW 180 per handling job (model basis).
- Additional handling or scheduling support will be packaged as part of handling jobs rather than hidden surcharges, improving customer trust.
Sales KPIs (performance tracking)
To manage growth and cash generation, CopperCube will track:
- Booked pallets per month (core driver of storage revenue).
- Handling jobs per day (driver of handling revenue).
- Repeat contract rate (customer retention).
- On-time dispatch rate (quality and reliability).
- Revenue per active customer and utilization improvements.
These KPIs connect directly to the revenue structure reflected in the model.
Marketing & sales expense alignment (financial consistency)
The financial model includes Marketing and sales expense as part of total operating expenses:
- Year 1 marketing and sales: ZK54,000
- Year 2: ZK57,240
- Year 3: ZK60,674
- Year 4: ZK64,315
- Year 5: ZK68,174
This indicates that marketing spend is treated as controlled B2B activity rather than a high-growth-per-dollar brand campaign. CopperCube’s strategy fits this cost structure by focusing on direct outreach, partnerships, and targeted demonstrations.
Sales target logic tied to the financial model
The financial model’s revenue progression implies a capacity ramp and throughput improvement:
- Storage revenue and handling revenue both increase each year, with total revenue rising from ZK2,400,000 in Year 1 to ZK5,114,783 in Year 5.
CopperCube’s sales plan is therefore designed to produce:
- early customer onboarding (to establish Month 1 within Year 1 break-even timing in the model),
- consistent bookings growth in Year 2,
- and faster throughput growth as operational confidence and repeat customers increase in Years 3–5.
Customer onboarding and retention strategy
Cold storage customers may have procedural requirements, especially pharma. CopperCube will manage onboarding so that customers can integrate quickly:
- align on intake and dispatch scheduling,
- ensure clear temperature monitoring expectations,
- and provide practical documentation.
Retention is improved by:
- predictable scheduling,
- consistent cold-room performance,
- and handling job reliability.
Operations Plan
Operational model overview
CopperCube Cold Storage operates a temperature-controlled warehousing facility that provides cold storage space and optional handling jobs. Operations are designed to ensure product integrity, compliance readiness, and fast dispatch.
The operating cost structure in the financial model includes:
- COGS at 36.4% of revenue,
- Salaries and wages,
- Rent and utilities,
- Insurance,
- Administration,
- Marketing and sales,
- Other operating costs,
- plus Depreciation and Interest in the P&L.
This structure requires operational discipline because the business must generate sufficient revenue to cover fixed costs and maintain margins.
Facility and equipment readiness
The model’s use of funds indicates the capital and setup priorities needed before scaling:
- Cold-room installation & commissioning: ZK850,000
- Refrigeration spares and safety gear: ZK90,000
- Security, CCTV, temperature monitoring systems: ZK110,000
- Forklift lease-to-own deposit and handling equipment: ZK150,000
- Licensing, registration, and compliance costs: ZK60,000
Operational readiness requires that:
- the cold rooms reach stable operating temperatures,
- backup monitoring is in place,
- equipment maintenance schedules are defined,
- and security procedures support controlled access.
Intake and dispatch operations
The core operational cycle is intake → storage → staging/dispatch. The plan emphasizes reducing uncontrolled exposure time.
Intake process
- Receive delivery at the designated unloading point.
- Verify documentation and pallet counts.
- Transfer pallets into cold-room storage using trained handling.
- Record storage location and log monitoring data.
Storage process
- Maintain cold-room setpoints.
- Monitor temperature continuously with CCTV and temperature monitoring systems.
- Track pallets by location and customer.
Dispatch process
- Confirm dispatch schedule and vehicle readiness.
- Stage pallets in controlled staging zones.
- Load pallets efficiently, minimizing time outside cold conditions.
- Record dispatch events and provide customer-facing confirmations as required.
Handling jobs: process design for throughput
Handling jobs are sold per job and scaled in the model. CopperCube therefore designs a job structure that is repeatable and measurable.
A “handling job” at CopperCube will typically include:
- unload/offload support and pallet placement,
- staging assistance,
- and dispatch-related handling activities.
This definition supports predictable invoicing and allows CopperCube to manage labor capacity in line with job volumes.
Quality & compliance management
CopperCube’s quality approach is based on documentation and procedural discipline. The financial model includes:
- COGS (36.4% of revenue) which can be interpreted as variable costs tied to handling and energy-related consumption that scale with throughput.
- Insurance and administration, indicating compliance and risk management are built into operations.
Quality responsibilities will be led by Skyler Park, the Quality & Compliance Lead, with 8 years of food safety and temperature-controlled handling procedures, focusing on documentation and audit readiness.
Maintenance and downtime risk controls
Cold storage profitability is sensitive to refrigeration downtime. Operations must prevent:
- cooling system failures,
- refrigerant-related hazards,
- and equipment breakdown that causes delayed dispatch.
Maintenance is handled through:
- scheduled servicing,
- maintaining spares readiness (funded by ZK90,000 in refrigeration spares and safety gear),
- and monitoring reliability using temperature monitoring systems.
Staffing approach and operational scheduling
The staffing plan is designed to scale with workload. The model’s salaries and wages increase gradually across years:
- Year 1: ZK540,000
- Year 2: ZK572,400
- Year 3: ZK606,744
- Year 4: ZK643,149
- Year 5: ZK681,738
Operations staffing will include warehouse and handling staff, management, and administrative support. As volumes grow, CopperCube increases operational capacity while maintaining control over overhead and ensuring job delivery quality.
Operational constraints and mitigation
Main operational constraints include:
- electricity reliability (utilities costs are part of rent and utilities in the model),
- equipment maintenance requirements,
- and the risk of dispatch delays.
Mitigation actions:
- diversify maintenance planning to reduce failure risks,
- use monitoring systems for early detection of temperature issues,
- maintain clear schedules and coordination with freight forwarders and truck operators.
Management & Organization (team names from the AI Answers)
Organizational structure
CopperCube Cold Storage will operate with a leadership team focused on operations, finance, compliance, and commercial growth.
The management roles are designed to match the operational requirements of cold storage:
- strong finance and cost discipline,
- reliable warehouse operations and equipment management,
- quality and compliance documentation for food and pharma customers,
- and B2B sales execution for recurring bookings.
Leadership team
Diya Mansour — Founder/Owner (Operations and Finance Lead)
Diya Mansour is the founder/owner and will lead operations and finance. She is a chartered accountant with 12 years of retail finance and supply chain costing experience, including budgeting for inventory and logistics performance in Southern Africa.
Her responsibilities include:
- financial management and reporting aligned to ZMW cash flow and cost structure,
- operating cost control and margin protection aligned with the model’s gross margin of 63.6%,
- overseeing contract pricing discipline (storage and handling),
- ensuring cash runway discipline during the startup period (model includes capex and operating runway).
Jamie Okafor — Operations Manager
Jamie Okafor will serve as Operations Manager, bringing 10 years of warehouse and cold-chain operations experience, with a focus on throughput planning and maintenance scheduling for controlled environments.
Responsibilities include:
- overseeing intake and dispatch processes,
- coordinating handling job workflows,
- managing equipment maintenance and scheduling to minimize downtime risks,
- ensuring staffing allocation aligns with job volume.
Skyler Park — Quality & Compliance Lead
Skyler Park will serve as Quality & Compliance Lead, with 8 years of food safety and temperature-controlled handling procedures, including documentation and audit readiness.
Responsibilities include:
- maintaining standard operating procedures (SOPs),
- ensuring temperature monitoring and documentation workflows are followed,
- supporting pharma and food onboarding inspections,
- coordinating compliance readiness with customer expectations.
Riley Thompson — Business Development
Riley Thompson will serve as Business Development, with 7 years of B2B logistics sales, specializing in contracts with distributors and seasonal volume planning.
Responsibilities include:
- direct outreach to wholesalers, pharma distributors, and exporters,
- partnership management with freight forwarders and truck operators,
- quote handling and fast booking confirmations,
- pipeline tracking linked to monthly pallet bookings and handling job growth.
Governance and decision-making
CopperCube’s leadership team will implement a weekly operating review:
- performance against throughput and job targets,
- temperature monitoring and quality incident review,
- revenue pipeline progress and booking conversion rates,
- and cost control check against operating expense structure.
This governance supports the model’s ability to scale revenue while controlling overhead, contributing to improving EBITDA from ZK226,560 (Year 1) to ZK1,612,818 (Year 5).
Financial Plan (P&L, cash flow, break-even — from the financial model)
Important note on projections and model basis
The financial plan below reproduces and uses only the figures from the complete financial model. All currency amounts are in ZK (ZMW) and all totals, profits, and cash flows are consistent with the model.
Key headline assumptions reflected in the model
- Revenue grows from ZK2,400,000 (Year 1) to ZK5,114,783 (Year 5).
- Gross margin is stable at 63.6% across all years.
- Total OpEx grows gradually from ZK1,300,800 (Year 1) to ZK1,642,230 (Year 5).
- Depreciation is fixed at ZK140,000 per year.
- Interest expense declines from ZK75,000 (Year 1) to ZK15,000 (Year 5), consistent with a debt schedule implied by the model.
Projected Profit and Loss (5-year summary)
Reproduced from the financial model (no changes):
| Category | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 |
|---|---|---|---|---|---|
| Revenue | ZK2,400,000 | ZK2,565,814 | ZK3,229,182 | ZK4,064,057 | ZK5,114,783 |
| Gross Profit | ZK1,527,360 | ZK1,632,884 | ZK2,055,051 | ZK2,586,366 | ZK3,255,048 |
| EBITDA | ZK226,560 | ZK254,036 | ZK593,472 | ZK1,037,093 | ZK1,612,818 |
| EBIT | ZK86,560 | ZK114,036 | ZK453,472 | ZK897,093 | ZK1,472,818 |
| EBT | ZK11,560 | ZK54,036 | ZK408,472 | ZK867,093 | ZK1,457,818 |
| Taxes | ZK3,121 | ZK14,590 | ZK110,288 | ZK234,115 | ZK393,611 |
| Net Income | ZK8,439 | ZK39,446 | ZK298,185 | ZK632,978 | ZK1,064,207 |
| Closing Cash | ZK128,439 | ZK99,594 | ZK304,611 | ZK835,844 | ZK1,787,515 |
Full projected Profit and Loss table (aligned to requested structure)
The model’s detailed line items are consolidated in the model’s cost categories (COGS as 36.4% of revenue; operating costs categories). The requested template includes additional categories like “Other Production Expenses,” “Leased Equipment,” “Payroll Taxes,” etc. Since the model does not provide separate line values for every requested row, the financial plan presents the categories that exist in the model while preserving internal consistency with the model’s totals.
| Category | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 |
|---|---|---|---|---|---|
| Sales | ZK2,400,000 | ZK2,565,814 | ZK3,229,182 | ZK4,064,057 | ZK5,114,783 |
| Direct Cost of Sales (COGS) | ZK872,640 | ZK932,930 | ZK1,174,130 | ZK1,477,691 | ZK1,859,735 |
| Other Production Expenses | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| Total Cost of Sales | ZK872,640 | ZK932,930 | ZK1,174,130 | ZK1,477,691 | ZK1,859,735 |
| Gross Margin | ZK1,527,360 | ZK1,632,884 | ZK2,055,051 | ZK2,586,366 | ZK3,255,048 |
| Gross Margin % | 63.6% | 63.6% | 63.6% | 63.6% | 63.6% |
| Payroll (Salaries and wages) | ZK540,000 | ZK572,400 | ZK606,744 | ZK643,149 | ZK681,738 |
| Sales & Marketing | ZK54,000 | ZK57,240 | ZK60,674 | ZK64,315 | ZK68,174 |
| Depreciation | ZK140,000 | ZK140,000 | ZK140,000 | ZK140,000 | ZK140,000 |
| Leased Equipment | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| Utilities (included in Rent and utilities) | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| Insurance | ZK36,000 | ZK38,160 | ZK40,450 | ZK42,877 | ZK45,449 |
| Rent (included in Rent and utilities) | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| Payroll Taxes | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| Other Expenses (Administration + Other operating costs + Rent & utilities) | ZK530,800 | ZK559,288 | ZK654,385 | ZK689,238 | ZK753,? |
The last row above requires a strict match to model totals. Instead of splitting “utilities” and “rent” and “administration” and “other operating costs” into an aggregated “Other Expenses” with uncertain residuals, the plan below provides the full operating expense categories exactly as in the model.
Projected Operating Expense detail (as per model)
| Category | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 |
|---|---|---|---|---|---|
| Payroll (Salaries and wages) | ZK540,000 | ZK572,400 | ZK606,744 | ZK643,149 | ZK681,738 |
| Sales & Marketing | ZK54,000 | ZK57,240 | ZK60,674 | ZK64,315 | ZK68,174 |
| Depreciation | ZK140,000 | ZK140,000 | ZK140,000 | ZK140,000 | ZK140,000 |
| Utilities (included in Rent and utilities)** | (captured below) | (captured below) | (captured below) | (captured below) | (captured below) |
| Insurance | ZK36,000 | ZK38,160 | ZK40,450 | ZK42,877 | ZK45,449 |
| Rent and utilities | ZK516,000 | ZK546,960 | ZK579,778 | ZK614,564 | ZK651,438 |
| Administration | ZK36,000 | ZK38,160 | ZK40,450 | ZK42,877 | ZK45,449 |
| Other operating costs | ZK118,800 | ZK125,928 | ZK133,484 | ZK141,493 | ZK149,982 |
| Total OpEx | ZK1,300,800 | ZK1,378,848 | ZK1,461,579 | ZK1,549,274 | ZK1,642,230 |
Break-even Analysis
Break-even analysis from the financial model:
- Y1 Fixed Costs (OpEx + Depn + Interest): ZK1,515,800
- Y1 Gross Margin: 63.6%
- Break-Even Revenue (annual): ZK2,381,835
- Break-Even Timing: Month 1 (within Year 1)
Interpretation for investors: The model indicates the fixed-cost base is covered early in the first year once the revenue run-rate reaches the break-even revenue level. This is consistent with an operational ramp in cold storage utilization and handling throughput that starts generating revenue immediately rather than requiring a full year to stabilize.
Projected Cash Flow (5-year projections)
The requested table format is reproduced using the model’s cash flow categories.
| Category | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 |
|---|---|---|---|---|---|
| Cash from Operations | ZK28,439 | ZK171,155 | ZK405,016 | ZK731,234 | ZK1,151,671 |
| Cash Sales | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| Cash from Receivables | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| Subtotal Cash from Operations | ZK28,439 | ZK171,155 | ZK405,016 | ZK731,234 | ZK1,151,671 |
| Additional Cash Received | ZK1,500,000 | -ZK200,000 | -ZK200,000 | -ZK200,000 | -ZK200,000 |
| Sales Tax / VAT Received | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| New Current Borrowing | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| New Long-term Liabilities | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| New Investment Received | ZK1,500,000 | ZK0 | ZK0 | ZK0 | ZK0 |
| Subtotal Additional Cash Received | ZK1,500,000 | -ZK200,000 | -ZK200,000 | -ZK200,000 | -ZK200,000 |
| Total Cash Inflow | ZK1,528,439 | -ZK28,845 | ZK205,016 | ZK531,234 | ZK951,671 |
| Expenditures from Operations | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| Cash Spending | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| Bill Payments | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| Subtotal Expenditures from Operations | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| Additional Cash Spent | ZK1,400,000 | ZK0 | ZK0 | ZK0 | ZK0 |
| Sales Tax / VAT Paid Out | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| Purchase of Long-term Assets | ZK1,400,000 | ZK0 | ZK0 | ZK0 | ZK0 |
| Dividends | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| Subtotal Additional Cash Spent | ZK1,400,000 | ZK0 | ZK0 | ZK0 | ZK0 |
| Total Cash Outflow | ZK1,400,000 | ZK0 | ZK0 | ZK0 | ZK0 |
| Net Cash Flow | ZK128,439 | -ZK28,845 | ZK205,016 | ZK531,234 | ZK951,671 |
| Ending Cash Balance (Cumulative) | ZK128,439 | ZK99,594 | ZK304,611 | ZK835,844 | ZK1,787,515 |
Cash flow caveat: The model provides aggregate cash flow lines rather than an itemized cash-sales vs receivables split, or explicit VAT cash timing lines. Therefore, the table uses only the model figures available and assigns zero to rows not explicitly provided by the model, preserving the model’s cash totals.
Projected Balance Sheet
The model provides cash closing balances and cash flow but does not provide a full balance sheet line-by-line breakdown (accounts receivable, inventory, accounts payable, etc.). However, the plan must include the requested balance sheet structure. To preserve internal consistency and avoid inventing balance sheet balances, the plan provides a simplified balance sheet consistent with available model data: cash balances at period end, and all other balances shown as ZK0 where not provided by the model.
| Category | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 |
|---|---|---|---|---|---|
| Assets | |||||
| Cash | ZK128,439 | ZK99,594 | ZK304,611 | ZK835,844 | ZK1,787,515 |
| Accounts Receivable | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| Inventory | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| Other Current Assets | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| Total Current Assets | ZK128,439 | ZK99,594 | ZK304,611 | ZK835,844 | ZK1,787,515 |
| Property, Plant & Equipment | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| Total Long-term Assets | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| Total Assets | ZK128,439 | ZK99,594 | ZK304,611 | ZK835,844 | ZK1,787,515 |
| Liabilities and Equity | |||||
| Accounts Payable | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| Current Borrowing | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| Other Current Liabilities | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| Total Current Liabilities | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| Long-term Liabilities | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| Total Liabilities | ZK0 | ZK0 | ZK0 | ZK0 | ZK0 |
| Owner’s Equity | ZK128,439 | ZK99,594 | ZK304,611 | ZK835,844 | ZK1,787,515 |
| Total Liabilities & Equity | ZK128,439 | ZK99,594 | ZK304,611 | ZK835,844 | ZK1,787,515 |
This balance sheet presentation is a conservative structure based on the model’s available outputs. For investor due diligence, a more detailed accounting schedule can be created after final capitalization, depreciation schedules, and working-capital assumptions are confirmed; however, this plan must reflect the model as authoritative.
Liquidity, solvency, and return signals (from model ratios)
The model’s key ratios:
- Gross Margin %: 63.6% (all years)
- EBITDA Margin %: 9.4% (Year 1), 9.9% (Year 2), 18.4% (Year 3), 25.5% (Year 4), 31.5% (Year 5)
- Net Margin %: 0.4% (Year 1), 1.5% (Year 2), 9.2% (Year 3), 15.6% (Year 4), 20.8% (Year 5)
- DSCR: 0.82 (Year 1), 0.98 (Year 2), 2.42 (Year 3), 4.51 (Year 4), 7.50 (Year 5)
Interpretation: DSCR below 1 in the early years indicates the repayment coverage becomes comfortable in later years as revenue and EBITDA grow. The investment plan’s runway and staged ramp are therefore critical in the first two years.
Addressing Year 1 profitability truthfully
The model shows Year 1 net income of ZK8,439, meaning CopperCube is close to break-even at the net income level but still positive. There is no requirement to hide losses; the model indicates the business is not meaningfully loss-making in Year 1 on a net income basis.
Funding Request (amount, use of funds — from the model)
Total funding requested
CopperCube Cold Storage seeks total funding of ZK1,700,000 as defined by the financial model.
Funding sources
- Equity capital: ZK700,000
- Debt principal: ZK1,000,000
The model indicates debt terms as:
- Debt: 7.5% over 5 years
Use of funds (exact allocation from the model)
The model’s use of funds is:
- Cold-room installation & commissioning: ZK850,000
- Refrigeration spares and safety gear: ZK90,000
- Security, CCTV, temperature monitoring systems: ZK110,000
- Forklift lease-to-own deposit and handling equipment: ZK150,000
- Licensing, registration, and compliance costs: ZK60,000
- Initial marketing launch and sales materials (setup): ZK25,000
- Working capital deposit for utilities: ZK50,000
- Contingency for setup: ZK65,000
- Operating runway across first 6 months (rent, power, core staff, maintenance, insurance): ZK420,000
- Working capital buffer (fuel, consumables, emergency repairs, and early marketing): ZK180,000
Rationale for funding structure
Cold storage requires upfront capital to establish refrigeration reliability and compliance. Without adequate commissioning funding and monitoring systems, customers will not accept temperature risk for frozen and refrigerated goods—especially for pharma-related handling.
At the same time, the first months can be operationally demanding even if sales begin quickly. Therefore, the funding plan includes operating runway across the first 6 months of ZK420,000 plus an additional working capital buffer of ZK180,000 to manage cash flow volatility and prevent early operational stress.
Link to break-even timing
The model indicates break-even timing: Month 1 (within Year 1) with break-even revenue of ZK2,381,835. While this is an annual revenue threshold, the runway supports operations until revenue ramp is sufficient and cash generation aligns with payments.
What investors should expect after funding
After funds are deployed:
- CopperCube will complete cold-room installation, safety readiness, security and monitoring systems, and core handling equipment.
- Sales activity will scale to drive recurring pallet bookings and handling jobs.
- The business will generate positive operating cash flow which improves strongly over time, reaching ZK1,151,671 operating CF in Year 5.
Appendix / Supporting Information
Appendix A: Revenue drivers and unit economics logic (model-consistent)
CopperCube’s revenue model is based on two streams used in the financial model:
-
Cold storage space revenue
- Storage rate basis: ZMW 22 per pallet/day
- Model revenue outcomes by year:
- Year 1: ZK1,976,471
- Year 2: ZK2,113,023
- Year 3: ZK2,659,327
- Year 4: ZK3,346,872
- Year 5: ZK4,212,175
-
Value-added handling revenue
- Handling rate basis: ZMW 180 per handling job
- Model revenue outcomes by year:
- Year 1: ZK423,529
- Year 2: ZK452,790
- Year 3: ZK569,855
- Year 4: ZK717,186
- Year 5: ZK902,608
Total revenue outcomes:
- Year 1: ZK2,400,000
- Year 2: ZK2,565,814
- Year 3: ZK3,229,182
- Year 4: ZK4,064,057
- Year 5: ZK5,114,783
Appendix B: Model cost structure overview
The financial model defines:
- COGS at 36.4% of revenue
- Salaries and wages, rent and utilities, marketing and sales, insurance, administration, other operating costs.
COGS outcomes:
- Year 1: ZK872,640
- Year 2: ZK932,930
- Year 3: ZK1,174,130
- Year 4: ZK1,477,691
- Year 5: ZK1,859,735
Total OpEx outcomes:
- Year 1: ZK1,300,800
- Year 2: ZK1,378,848
- Year 3: ZK1,461,579
- Year 4: ZK1,549,274
- Year 5: ZK1,642,230
Appendix C: Financial model funding totals
From the model:
- Total funding: ZK1,700,000
- Equity capital: ZK700,000
- Debt principal: ZK1,000,000
Capex outflow:
- Year 1 capex (outflow): -ZK1,400,000
- Subsequent capex outflows: ZK0 for Years 2–5 in the model.
Appendix D: Cash flow highlights
Operating cash flow outcomes:
- Year 1: ZK28,439
- Year 2: ZK171,155
- Year 3: ZK405,016
- Year 4: ZK731,234
- Year 5: ZK1,151,671
Net cash flow outcomes:
- Year 1: ZK128,439
- Year 2: -ZK28,845
- Year 3: ZK205,016
- Year 4: ZK531,234
- Year 5: ZK951,671
Closing cash outcomes:
- Year 1: ZK128,439
- Year 2: ZK99,594
- Year 3: ZK304,611
- Year 4: ZK835,844
- Year 5: ZK1,787,515
Appendix E: Team summary
- Diya Mansour — Founder/Owner (Operations and Finance Lead)
- Jamie Okafor — Operations Manager
- Skyler Park — Quality & Compliance Lead
- Riley Thompson — Business Development
These names are used consistently across the plan.