Resetting the economics of a food importer and distributor for sustainable growth

Portside spent a decade building one of the region’s leading food import and distribution businesses. Growth picked up speed in recent years, but industry realities caught up. Margins were thin. Working capital needs were heavy. The company had already taken on significant debt, much of it with short repayment timelines. Management slowed expansion because the balance sheet could not safely support the pace.

Decision-making was also becoming a constraint. Procurement calls had to be made ahead of time, but there was no structured framework for deciding when imports made sense versus when local buying was the better option. Pricing and channel strategy were not fully tied to true unit economics, so growth did not always translate into cash.

1. Identifying margin and decision-making opportunities

We benchmarked Portside against comparable importers and distributors across North America, Europe, and Asia. The review showed clear room to improve gross margin without changing the core model. Private label looked attractive in categories with weaker brand loyalty and higher buyer switching. Pricing was largely flat across channels even though profitability and service costs varied, and sales incentives rewarded revenue more than contribution. We also found that procurement decisions were exposed to timing risk because management relied too heavily on experience rather than a repeatable import-versus-local-buy framework.

2. Redesigning the commercial model

We helped rebuild Portside’s commercial model around real unit economics. That included redesigning price architecture by channel, account size, and service level, and updating the incentive structure so the sales team earned more when it grew gross profit rather than just top-line revenue. Targets were adjusted to reflect mix, returns, and cost to serve.

We also analysed profitability by channel and allocated fixed costs more clearly across the business. That gave management a more practical break-even view of each route to market, helped clarify minimum margin thresholds by channel, and made it easier to decide where sales effort should be focused when working capital was tight.

3. Building a more structured procurement and pricing system

To improve procurement decisions, we built an SPS framework linking supply, permit, and demand data. The model translated government import permit data, expected execution timing, domestic supply information, and forward demand assumptions into clearer signals on when to import, when to buy locally, and when to stay cautious. The goal was not to predict prices perfectly, but to create a simple and repeatable decision tool that reduced the risk of importing into a weak market and improved stock planning.

In parallel, we mapped the requirements for a rule-based pricing and approval tool. The idea was to combine pricing logic, approval workflows, and data capture into one system so the team could reduce pricing inconsistency, enforce margin rules more reliably, and create cleaner quote data for future analysis.

4. Capital structure reset

Alongside the operating work, we mapped the balance sheet and the full debt stack. A large share of borrowing sat in short-term, high-cost facilities that created constant refinancing pressure. We prepared a lender-ready financing package linking the operating improvements to a credible financial plan. This included a clean three-statement model and forecast, a consolidated historical and forward view of performance, and a structured data room covering key operating and commercial materials.

We are engaging credit providers on behalf of Portside to refinance expensive short-term debt into a more stable mix of term loans and working capital lines. The objective is to lower the blended cost of capital, extend repayment timelines, and give management room to plan growth without month-to-month rollover pressure.