Afresh
Afresh provides AI-supported forecasting, ordering, production and inventory capabilities for grocery retailers, with a particular focus on fresh-food operations.
The platform applies demand forecasting and replenishment logic to short-life products where availability, waste and store execution must be balanced.
The affected decisions are order quantities, production plans, freshness targets and waste controls. Reliable use depends on clean POS, inventory, shelf-life, promotion and store-calendar data, with ownership shared across merchandising, store operations and replenishment.
Before scaling into replenishment workflows, retailers need exception thresholds, override logging, waste measurement and a clear fallback when forecasts or on-hand inventory are wrong.
Around Afresh (12)
- newsAmart Furniture replaces legacy planning with RELEX2026-08-24
- alertsEVENT: Algo webinar examines when supply chains should use forecast-driven push versus demand-driven pull2026-10-15
- insightsEvaluating agentic AI for demand forecasting requires more than forecast accuracy2026-10-01
- newsStüssy selects RELEX to connect forecasting, replenishment and merchandise financial planning2026-09-30
- newsAnora reports channel-level forecasting gains with RELEX2026-09-03
- newsNEC launches cross-system SCM AI Agent for forecasting, procurement and planning2026-08-28
- newsBlue Yonder adds agentic AI to retail inventory, replenishment and returns2026-08-26
- newsAmart replaces legacy planning with AI-driven forecasting and replenishment2026-08-24
- tutorialsExperiment: Build a Supply Chain as a Service company with OpenOPC2026-07-05
- alertsEVENT: Alteryx examines the data foundation for AI supply-chain planning2026-07-03
- alertsEVENT: Algo Hosts “The Trillion-Dollar Forecast” Webinar on Forecasting as a Scenario Tool2026-06-25
- newsSippy plans Smart Stock to anticipate beverage replenishment without customer inventory records2026-10-10