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Solutions

Customers

Resources

Sustainability

Request a demo

Platform

Solutions

Customers

Resources

Sustainability

Company

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The AI Platform for Grocery

Afresh turns millions of data points into profitable decisions every retailer and distributor can trust.

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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.

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Period Ending Inventory

Close the period faster with accurate ending inventory.

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Production Planning

Produce with precision to maximize freshness and minimize waste.

Learn more

Recipe Management

Digitize, manage, and plan recipes from one source of truth.

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DC Buying

Buy the right product for your DCs, driven by real store demand.

Learn more

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

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=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

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

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.

Build a clean foundation
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.
Optimize outcomes
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.
Act faster
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.

Build a clean foundation
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.
Optimize outcomes
Decision making built for uncertainty
Instead of relying on static numbers, Afresh models a range of conditions, so decisions balance availability, freshness, labor, and profitability.
Act faster
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.

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

sales increase

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

Benefits for every team

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

faster ordering

vs. Computer Automated Ordering

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.

faster ordering

vs. Computer Automated Ordering

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

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

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

"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
GVP Technology and Engineering

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

See why leading grocers trust Afresh

See customer stories

See why leading grocers trust Afresh

See customer stories

Born in fresh. Built for every department.

Store Ordering

Period Ending Inventory

Production Planning

Recipe Management

DC Buying

Grocery requires a different foundation

Grocery requires a different foundation

Data models that know grocery

Decision making built for uncertainty

Agents that help teams get work done

Data models that know grocery

Decision making built for uncertainty

Agents that help teams get work done

Benefits for every team

Run stores with fewer manual decisions

Run stores with fewer manual decisions

"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."

"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."

"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."

See why leading grocers trust Afresh

See why leading grocers trust Afresh

Grocery requires
a different foundation