Solution · Demand & Sales Forecasting
Freight & FX Forecasting
DataWise designed a forecasting tool for sea-freight prices and exchange rates: procurement decision support that times an importer’s buys on data, not nerve.
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How do you time import orders when sea-freight rates and exchange rates move more than your margin? For an importing manufacturer, the landed cost of a container is three prices multiplied together: the goods, the freight, and the currency, and two of the three swing hard while the purchase order waits for a signature. DataWise designed and specified a forecasting tool for exactly this: sea-freight price and exchange-rate forecasts as procurement decision support, built for an importing manufacturer whose import decisions carried both exposures at once. The aim is not to outsmart currency markets; it is to time and size decisions you must make anyway, with a graded forecast instead of nerve.
How it works
The designed shape has three parts, matched to how import decisions are actually made.
Two forecast layers, one decision. Sea-freight prices and exchange rates are separate time-series problems with separate drivers, so each gets its own models; the decision layer brings them together into the number the buyer actually needs, the expected landed-cost direction for the order sizes and dates on the table.
Horizons matched to the order cycle. An importer does not need a five-year view; the horizons that matter run from order placement to payment, weeks to months, and the models are tuned to those windows.
Decision support, not speculation. The output frames choices the company already faces: place the order now or next month, larger and less frequent or smaller and more frequent, and it is graded against actuals over time, the same open-ledger discipline we apply to every forecast. Hedging instruments remain your banker’s domain; what the tool changes is the information you walk in with.
What we’ve built
Exact tier, stated plainly: this system is at the designed-and-specified stage, a detailed architecture and plan produced for a real importing manufacturer, not yet a system in production. The forecasting machinery it rests on is proven in our adjacent work at the built-and-validated tier:
- Cashflow prediction from raw banking data: built and validated a business-cashflow forecasting model working directly from real bank-account transaction history, a deep plus classical time-series ensemble in the same financial domain.
- Commodity-price forecasting engine: built a GPU-accelerated deep-ensemble engine for agricultural commodity prices, validated against a real feed mill’s purchasing history, the same class of volatile-price problem.
- Three years of graded forecasting: our flagship engagement tracked forecasts openly against actuals every month for three years, which is the accountability model this tool was designed around.
From the wider industry: in a Citigroup and Ant International pilot, an AI FX model reached forecasting accuracy above 90% and cut an airline customer’s hedging costs by 30%, per Global Finance. Better FX and freight forecasting does not replace a treasury desk; it sharpens the timing and sizing decisions, and the hedging, that sit on top of it.
FAQ
Is this a currency-trading or hedging product?
No. It is procurement decision support: it informs when to order, how much, and in what cadence, given expected freight and currency movement. It does not place trades and does not replace your bank's hedging instruments; it improves the information behind them.
Has this run in production?
Not yet, and we say so plainly. It was designed and architected for a real manufacturer with real exposures; the forecasting core it draws on is built and validated in adjacent engagements. A new engagement starts by validating on your routes and currencies before any build commitment.