Afresh connects and optimizes every decision from stores to distribution centers
Store ordering, production, buying, inventory, demand, and perishability are all connected — yet most platforms can’t account for that. When these factors aren't modeled together, decisions fall short and cause out-of-stocks, waste, and missed margins.
Afresh was built for fresh, the most demanding grocery department, where short shelf lives, messy data, and variability are the norm. That foundation now runs every department, from Store Ordering to Production Planning, DC Buying, Period Ending Inventory, and Recipe Management.
Designed to consider every factor affecting inventory — sales, shipments, promotions, shelf life, demand, and more — Afresh connects and optimizes decisions across the business to reduce waste and drive stronger margins.
Grocery is defined by variability. Most platforms that claim to solve this were built for other industries and struggle to adapt their logic. Afresh’s AI is trained on billions of real grocery signals that get more accurate over time. Where rules-based systems break down, Afresh learns and improves.
Adaptive Data Models
Since grocery data is unreliable by nature (e.g. inconsistent pack sizes, missing counts), Afresh continuously scores and corrects data to build a reliable foundation for decision-making.
Probabilistic Decision Making
Most platforms use a single forecast and apply a static safety stock. Afresh analyzes thousands of scenarios across demand, inventory, perishability, and margin to make precise decisions that eliminate unnecessary safety stock.
Automated Workflows
Afresh automates routine decisions and surfaces the items that need human judgment, so experienced operators spend more time where it matters.
See why Afresh is the cornerstone solution for leading retailers.