What ROI do your customers typically see?

ROI varies by use case, but customers consistently report value across three levers:

Teams use Helios’ country-of-origin cash-price forecasts (12-month horizon, refreshed weekly) plus early climate-risk alerts to lock coverage before tightness shows up in quotes. A simple way to size this on your side is (later market price – your fixed price) × volume. Our public case studies show this in practice—e.g., cocoa buyers acted months early on West Africa risk; coffee buyers moved ahead of Vietnam drought headlines—illustrating how lead-time converts into avoided costs.

Backtests document ~65–71% directional accuracy across major crops with positive cumulative profit and loss using simple rules, indicating the signals lead—not just describe—price moves. The same lead-time pattern shows up in field examples where WA%R rises weeks to months before price pressure, giving budget owners cleaner entry windows and fewer surprises.

Instead of stitching bulletins and spreadsheets, teams work from a single, harmonized dataset that’s rebuilt nightly and delivered via dashboard, API/CSV, and weekly PDFs with plain-English explanations—freeing analysts to act rather than aggregate. Broad coverage (70+ commodities, global reach) means the same workflow scales from a single SKU to a multi-country program.

We don’t quote a one-size-fits-all %; we help you quantify ROI in avoided costs, better-timed buys, accuracy/lead-time gains, and saved analyst hours, then back it with auditable data and case evidence.