Set your factory target. ListenField monitors every field, detects every risk, and coordinates every stakeholder — without a phone call, without a weekly report.
Satellite imagery, weather stations, and soil surveys — integrated into a single intelligence layer that spans the globe and reaches back to 1980.
ListenField is not a reporting tool. It watches your supply network continuously, listens to your business target, defines work and action, detects problems before they become crises — and tells you, with a deadline, what decision to make next.
Trusted globally
One target drives three AI layers. Every stakeholder gets what they need, automatically.
AI reads 340 fields every day. You see one number: confident or not. Yield models from regional to field-polygon level with risk signals and harvest window alerts 21 days before.
The AI holds the full supply picture. You don't have to. Portfolio-level forecasts across countries, crops, and sourcing zones — connected to your factory planning with shortfall alerts and re-sourcing options.
AI assigns the work. People execute it. Nothing falls through. Farmers, agronomists, field operators, and machine contractors receive instructions automatically — tracked in real time.
Unilever
Partnering with Livelihoods Ventures and Kasetsart University on a Regenerative Rice Project — data and analytics to improve the feedback loop for farmers.
Sun Sweet
Predictable production planning, informed prediction results, and tools to reduce risk including a planting calculator.
Sapporo Beers
Growth monitoring, maturity prediction, and lodging detection — earning positive feedback from both research teams and farmers.
Start your journey towards autonomous supply chain intelligence.
Request a DemoListenField's AI platform combines satellite imagery, climate models, and soil data into a single intelligence layer that monitors your entire supply network continuously. Instead of reacting to shortfalls after they happen, the system detects risk signals early and provides actionable forecasts — so your procurement team can re-source proactively. Enterprise deployments with Unilever, PepsiCo, and Eastern Sugar have demonstrated up to 20% reduction in procurement prediction error.
It depends on the crop and the decision. For production planning, ListenField provides supply estimates at the beginning of the season — giving factories and procurement teams the numbers they need to plan throughput, logistics, and sourcing. For yield prediction, the AI models perform best 20–40 days before harvest, when field conditions have matured enough for high-accuracy forecasting. Risk signals and harvest window alerts are issued throughout the growing season, so stakeholders always have the latest picture.
ListenField has production-validated models for sugarcane, rice, barley, potato, cassava, sweet corn, and essential oils — deployed across Japan, Thailand, Laos, Vietnam, and Colombia. For new crops, the platform can be configured and operational within 30–90 days, depending on data availability and growing cycle. The AI learns from your specific fields and conditions, so accuracy improves with each season.
ERP systems like SAP and Oracle focus on factory-side production data — what was ordered, what was produced, what was shipped. ListenField focuses on what is happening in the field before raw materials reach the factory. It ingests environmental data — soil conditions, climate patterns, crop growth stages — and trains AI models to understand how these conditions translate into supply risk, yield variance, and harvest timing. ERP records the past. ListenField predicts the future and links field conditions to factory planning.
Traditional BI tools give you charts and reports, but you have to configure data pipelines yourself, interpret the numbers, and decide what to do. ListenField is different: it builds the entire data pipeline for you — connecting your field data with satellite imagery, weather models, and soil surveys — then learns your specific workflow. Instead of generic dashboards, you get actionable intelligence tailored to each stakeholder: the factory manager sees supply forecasts, the agronomist sees field-level risk alerts, the logistics team sees harvest schedules. The system doesn't just show data — it tells you what to do, for whom, and by when.
ListenField is deployed by Unilever (regenerative rice, Thailand), PepsiCo (potato supply chain), Sapporo Beers (barley prediction, Hokkaido, Japan), Eastern Sugar & Canes (400,000+ rai sugarcane, Thailand), Sun Sweet (sweet corn, 20%+ prediction error reduction), and Ajinomoto (cassava via FD Green). Kubota is a strategic investor. The platform also serves development programmes with ADB, IFC, JICA, and UNDP.