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AI That Actually Understands Grocery
AI That Actually Understands Grocery
AI That Actually Understands Grocery
Afresh's AI has been training on billions of real grocery decisions for nearly a decade. Every new retailer, category, and daily decision strengthens the models behind our demand forecasts, inventory intelligence, workflows, and recommendations.
Afresh’s AI has been learning from billions of real grocery decisions for nearly a decade. Every new retailer, category, and daily decision strengthens the models behind our demand forecasts, inventory intelligence, workflows, and recommendations.
Afresh’s AI has been learning from billions of real grocery decisions for nearly a decade.
Every new retailer, category, and daily decision strengthens the models behind our demand forecasts, inventory intelligence, workflows, and recommendations.
Blindspots are costing grocers billions
Most systems weren't designed for grocery's operational complexity
Shifting assortments, random-weight products, fragmented supplier data, and real-world store conditions create blindspots that traditional systems can't see—leading to missed sales, excess waste, and inconsistent execution.
MESSY DATA
Source systems create thousands of disconnected SKUs, item names, and attributes
SYSTEMS THAT DON'T REFLECT REALITY
Mis-scans, theft, perishability, and human error create phantom inventory
HARD-TO-TRACK RELATIONSHIPS
Ordered items transform into other SKUs with different sales and demand patterns
Afresh sees what others can't
Afresh sees what others can't
Most systems see a SKU. Afresh uncovers the relationships behind it: where it came from, what it becomes, and how demand shifts over time.
Most systems see a SKU. Afresh uncovers the relationships behind it: where it came from, what it becomes, and how demand shifts over time.
Most systems see a SKU. Afresh uncovers the relationships behind it: where it came from, what it becomes, and how demand shifts over time.
Trained on a decade of data
59,000
59,000
59,000
unique SKUs processed
12.5B
12.5B
12.5B
grocery items modeled
How it works
Reliable data that's always up-to-date
Afresh continuously scores, corrects, and enriches your source data, turning inconsistent SKUs, names, and measurement units into one accurate picture the whole platform runs on.
Reliable data that's always up-to-date
Afresh continuously scores, corrects, and enriches your source data, turning inconsistent SKUs, names, and measurement units into one accurate picture the whole platform runs on.
Demand forecasts see the bigger picture
Most forecasts reduce demand to a single number. Afresh models all possible outcomes, so every downstream decision accounts for uncertainty.
Demand forecasts see the bigger picture
Most forecasts reduce demand to a single number. Afresh models all possible outcomes, so every downstream decision accounts for uncertainty.
Inventory that reflects reality
Perpetual inventory subtracts sales from what was received and counted. That falls apart in fresh, where spoilage, shrink, and miscounts go unrecorded. Afresh estimates what's most likely on the shelf from store patterns, item behavior, and real-time signals.
Inventory that reflects reality
Perpetual inventory subtracts sales from what was received and counted. That falls apart in fresh, where spoilage, shrink, and miscounts go unrecorded. Afresh estimates what's most likely on the shelf from store patterns, item behavior, and real-time signals.
Decisions that consider every tradeoff
Every decision affects availability, waste, freshness, labor, and profitability differently. Afresh simulates thousands of scenarios to find the option that delivers the best overall result: improving margins and cutting unnecessary stock.
Decisions that consider every tradeoff
Every decision affects availability, waste, freshness, labor, and profitability differently. Afresh simulates thousands of scenarios to find the option that delivers the best overall result: improving margins and cutting unnecessary stock.
Agents that turn intelligence into action
Afresh automates routine decisions while keeping humans in the loop on the decisions that matter most, so associates can spend their time where it counts.
Agents that turn intelligence into action
Afresh automates routine decisions while keeping humans in the loop on the decisions that matter most, so associates can spend their time where it counts.
