Afresh | AI Platform for Grocery Retail
Born in fresh. Built for every department.
Help teams cut shrink, improve margins, and act with confidence.
Store Ordering
Order the right product, at the right time, across every department.
Period Ending Inventory
Close the period faster with accurate ending inventory.
Production Planning
Produce with precision to maximize freshness and minimize waste.
Recipe Management
Digitize, manage, and plan recipes from one source of truth.
DC Buying
Buy the right product for your DCs, driven by real store demand.
ITEM=CROISSANT_BUTTER BATCH=06:00 PROOF=42_MIN ITEM=SALMON_ATLANTIC TEMP=FROZEN CONF=0.89 ITEM=BANANA_PETITE REC_ORDER=64 STORE=214 ITEM=CHEDDAR_SHARP_8OZ TURN=+7PCT ITEM=ROTISSERIE_CHX
SKU_483920_ETA_2025-03-18_STATUS_LATE_TRUCK_DC_FRESNO_04_DEL CONF=0.93 ITEM=AVOCADO_HASS_48CT REC_ORDER=18 YIELD=0.81 ITEM=RIBEYE_PRIMAL CUT_PLAN=BONELESS SELLABLE_LB=128 SHRINK=LOW
ITEM=SOURDOUGH_ROUND BATCH_TIME=04:30 PROOF_HOURS=18 ITEM=COD_WILD_CAUGHT CONF=0.91 TEMP=ICE_PACKED ITEM=BLUEBERRY_ORGANIC_PINT REC_ORDER=28 STORE=107 ITEM=MOZZARELLA_FRESH_8OZ MARGIN=+12
Grocery requires a different foundation
In grocery, data is messy by default. In fresh, it's a moving target: shifting assortments, multiple vendors, random-weight packs, and fluctuating prices create new gaps every day. That's why we built a different fresh-first foundation before scaling to the rest of the store.
Data models that know grocery
Afresh's data models understand how products, inventory, and operations relate so every decision starts from an accurate read of your business.
Decision making built for uncertainty
Instead of relying on static assumptions, Afresh models a range of conditions, so decisions balance availability, freshness, labor, and profitability.
Agents that help teams get work done
Afresh doesn't stop at recommendations. Our agents automate routine work, coordinate workflows, and bring your team in when human judgment matters most.
- SKU_891263_ETA_2025-03-22_STATUS_IN_TRANSIT_TRUCK_DC_PHOENIX_02_DEL CONF=0.88 ITEM=KALE_LACINATO_BUNCH REC_ORDER=56 YIELD=0.68 ITEM=LAMB_CHOPS_FRENCHED CUT_PLAN=PORTIONS SELLABLE_LB=48
12,700+ departments
25% shrink reduction
3% sales increase
Benefits for every team
Operations
Merchandising
IT
Executives
Run stores with fewer manual decisions
Give teams AI-driven workflows and recommendations that adapt to real store conditions—keeping shelves full, reducing shrink, and driving more consistent execution across every store.
ITEM=RIBEYE_ROLL_112A PACK=CASE REC_ORDER=14 CONF=0.94 DC=DALLAS_05 STATUS=READY_TO_SUBMIT SHRINK=LOW ITEM=YOGURT_LOWFAT_32OZ STORE=214 REC_ORDER=22 ITEM=CHEDDAR_BLOCK CONF=0.91 TURN=7PCT ITEM=FLOUR_AP_5LB KANSAS_CITY_02 STATUS=IN_TRANSIT ETA=2025-03-18 ITEM=SUSHI_TRAY_12CT YIELD=0.72 START_BY=11:00 SUBMITTED 0 1 0 1 = : — SOC2 COMPLIANT NODES=40 DEPTS=12500 STATES=40
40 % faster ordering vs. Computer Automated Ordering
"A lot of legacy systems expect perfect data, which makes everything fragile. Afresh works with the imperfect data we actually have — and now our shelves are fuller, our back rooms are cleaner, and our associates love the system."
Maria Latushkin