AI built specifically for produce, accounting for ripeness curves, weather, weekly ad lift, and holiday spikes. Cut shrink 25%. Lift sales 3%. Already running at 12,500+ fresh departments.
Purpose-built for produce, Afresh goes beyond traditional demand forecasting and perpetual inventory. It models ripening curves, weather impact, weekly ad lift, and holiday spikes to drive optimal decisions in every department, every store, every day.
Turn the complexity of produce (ripeness, weather, ad lift, supplier swaps) into coordinated, predictable performance with Afresh's award-winning AI.
From DC to backroom to on-shelf: one platform.
Connects produce buying, store ordering, ripening cycles.
Single source of truth for shrink reporting.
Weight-variable items, supplier substitutions, regional variability.
Produce data is the messiest in the store.
Afresh is engineered specifically for it.
Heirloom tomato turnover vs banana ripeness.
Prepared salad shelf life vs ad-driven bell pepper lift.
Balance sales, shrink, and labor across the department.
Replaces the produce manager's gut and clipboard.
Daily, SKU-level guidance for every store.
Trains in hours, not weeks.
Traditional replenishment tools were built for shelf-stable cans and boxes. They cannot model ripening curves, weather impact on demand, weekly ad lift, holiday spikes, supplier substitutions, or the gap between conventional and organic SKUs.
Afresh was engineered for produce from day one, turning that complexity into profitability, fewer dump bins, and lasting growth.
Why this matters for produceAlbertsons rolled Afresh out across all 2,200 banner produce departments. 25% shrink reduction at scale. The same engine, the same playbook is available to any produce VP today.