Afresh provides a cloud-native AI platform that unifies demand forecasting, inventory optimization, and distribution‑center planning for fresh food categories. By ingesting POS, supplier, and shelf‑life data, it generates daily replenishment recommendations and real‑time dashboards that reduce waste, improve in‑stock rates, and streamline cross‑department coordination for grocery retailers.
Funding
$115M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
WRFounders
Product
Problem
Fresh food retailers face volatile demand, short product lifespans, and fragmented data across merchandising, inventory, and distribution centers, leading to frequent stockouts, excess shrink, and high labor overhead. Traditional forecasting tools, built for shelf-stable items, cannot accommodate the incomplete, rapidly changing inputs typical of perishables.
Solution
Afresh delivers a cloud-native platform that unifies fresh‑category replenishment, production planning, inventory management, and distribution‑center forecasting within a single AI‑driven engine. The solution ingests noisy point‑of‑sale, supplier, and shelf‑life data, applies purpose‑built machine‑learning models to generate demand forecasts and optimal inventory levels for each fresh department. Real‑time actionable insights are presented through a web dashboard and API, enabling store teams to balance sales, waste, and labor constraints on a daily basis. Cross‑department coordination is automated, so produce, bakery, deli, meat, and seafood planners work from a shared plan rather than isolated spreadsheets. The platform continuously learns from sales and waste signals, reducing shrink, improving in‑stock rates, and increasing inventory turns while maintaining compliance with food‑safety standards.
Features
- AI‑powered demand forecasting tuned for perishables, handling incomplete POS and supplier data sets
- Intelligent inventory optimization that calculates optimal order quantities, safety stock, and markdown timing to minimize waste and stockouts
- Integrated distribution‑center (DC) forecasting module that aligns inbound shipments with store‑level replenishment plans
- Cross‑department planning engine that synchronizes produce, bakery, deli, meat, and seafood schedules in a single workflow
- Real‑time web dashboard with KPI visualizations (shrink, turn, labor efficiency) and drill‑down alerts for out‑of‑stock risk
- RESTful API and FHIR‑compatible connectors for seamless integration with existing ERP, POS, and store execution systems
- Cloud‑based analytics pipeline that continuously retrains models on sales, waste, and labor data to improve accuracy over time
- Role‑based access controls and end‑to‑end encryption to meet industry food‑safety and data‑privacy regulations