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=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=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
Agentic Workflows
Agentic Workflows
AI-powered execution, from store to DC
AI-powered execution, from store to DC
AI-powered execution, from store to DC
Afresh automates routine tasks across store ordering, inventory, and DC buying—helping teams work more efficiently and bringing people in when decisions need their judgment.
Afresh automates routine tasks across store ordering, inventory, and DC buying—helping teams work more efficiently and bringing people in when decisions need their judgment.








SHIPPED_CASES=8_ID=PO_773201 STORE=318 SOLD_WEIGHT_LB=0.95 UNIT_PRICE_PER_LB=12.99 SHIPPED_CASES=20 STATUS=
READY_TO_SUBMIT 14 SOLD_WEIGHT_LB=2.75 UNIT_PRICE_PER_LB=2.49 SHIPMENT=SH_882190 SHIPPED_CASES=80 STATUS=IN_TRANSIT ORDER_ID=POSHIPPED_CASES=8_882190 ITEM_ID
RECOMMENDED_ORDER_CA
14 SOLD_WEIGHT_LB=2.75 UNIT_PRICE_PER_LB=2.49
SHIPMENT=SH_882190 SHIPPED_CASES=80 STATUS=IN_TRANSIT ORDER_ID=PO_882190 ITEM_ID
SHIPPED_CASES=8_ID=PO_773201 STORE=318 SOLD_WEIGHT_LB=0.95 UNIT_PRICE_PER_LB=12.99 SHIPPED_CASES=20 STATUS=
READY_TO_SUBMIT 14 SOLD_WEIGHT_LB=2.75 UNIT_PRICE_PER_LB=2.49 SHIPMENT=SH_882190 SHIPPED_CASES=80 STATUS=IN_TRANSIT ORDER_ID=POSHIPPED_CASES=8_882190 ITEM_ID
RECOMMENDED_ORDER_CA
14 SOLD_WEIGHT_LB=2.75 UNIT_PRICE_PER_LB=2.49
SHIPMENT=SH_882190 SHIPPED_CASES=80 STATUS=IN_TRANSIT ORDER_ID=PO_882190 ITEM_ID
SHIPPED_CASES=8_ID=PO_773201 STORE=318 SOLD_WEIGHT_LB=0.95 UNIT_PRICE_PER_LB=12.99 SHIPPED_CASES=20 STATUS=
READY_TO_SUBMIT 14 SOLD_WEIGHT_LB=2.75 UNIT_PRICE_PER_LB=2.49 SHIPMENT=SH_882190 SHIPPED_CASES=80 STATUS=IN_TRANSIT ORDER_ID=POSHIPPED_CASES=8_882190 ITEM_ID
RECOMMENDED_ORDER_CA
14 SOLD_WEIGHT_LB=2.75 UNIT_PRICE_PER_LB=2.49
SHIPMENT=SH_882190 SHIPPED_CASES=80 STATUS=IN_TRANSIT ORDER_ID=PO_882190 ITEM_ID
SHIPPED_CASES=8_ID=PO_773201 STORE=318 SOLD_WEIGHT_LB=0.95 UNIT_PRICE_PER_LB=12.99 SHIPPED_CASES=20 STATUS=
READY_TO_SUBMIT 14 SOLD_WEIGHT_LB=2.75 UNIT_PRICE_PER_LB=2.49 SHIPMENT=SH_882190 SHIPPED_CASES=80 STATUS=IN_TRANSIT ORDER_ID=POSHIPPED_CASES=8_882190 ITEM_ID
RECOMMENDED_ORDER_CA
14 SOLD_WEIGHT_LB=2.75 UNIT_PRICE_PER_LB=2.49
SHIPMENT=SH_882190 SHIPPED_CASES=80 STATUS=IN_TRANSIT ORDER_ID=PO_882190 ITEM_ID
Priorities change every day
Store teams and DC buyers have orders to submit, inventory to count, and POs to review—all before the cutoff. Figuring out which items need their attention often means working through all of them, and the list changes every day.
Teams can’t rely on a static checklist to know where to spend their time, but need an efficient way to identify and tackle priorities.
Store teams and DC buyers have orders to submit, inventory to count, and POs to review—all before the cutoff. Not every item needs their attention, but figuring out which ones do can mean working through them all.
That list changes every day. An item that needed no review yesterday may need a count today. A routine purchase order may need a buyer’s judgment after a vendor short. Teams can’t rely on a fixed checklist to know where to spend their time.


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=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=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
Automate the routine. Act on the exceptions.
Afresh connects recommendations to action, helping teams complete everyday work without reviewing every item from scratch.
Prepare and submit orders
Prepare store orders and DC POs using the latest forecasts, inventory estimates, and decision models. When enabled, routine orders are submitted automatically by the deadline.
Surface what needs attention
Give teams a focused review list, from uncertain inventory to unusual demand or waste risk.
Keep people in control
Teams can review, adjust, or override recommendations, while corporate teams get visibility into workflow adoption across stores.
Everyday workflows
Ordering, inventory, and buying
Store ordering
Pre-populate department orders and focus order writers on the items that need attention. Teams can review and adjust recommendations before submission, or enable automatic submission by the deadline.
Pre-populate department orders and focus order writers on the items that need attention. Teams can review and adjust recommendations before submission, or enable automatic submission by the deadline.
Learn more

Inventory counting and period close
Guide teams to the items that need a count and fill in estimated on-hand for the rest. At period close, pre-populate inventory estimates for review instead of starting every item from zero.
Guide teams to the items that need a count and fill in estimated on-hand for the rest. At period close, pre-populate inventory estimates for review instead of starting every item from zero.
Learn more
DC purchase order writing
Turn store-level demand and DC inventory into recommended POs. Automate routine PO work and bring buyers in to review promotions, vendor shorts, and other exceptions.
Turn store-level demand and DC inventory into recommended POs. Automate routine PO work and bring buyers in to review promotions, vendor shorts, and other exceptions.
Learn more
DC task prioritization and resolution
Bring late trucks, quality rejections, demand spikes, aging product, and vendor deals into one prioritized view. Show buyers what needs attention first, with resolution options and their projected impact on fill rate, margin, and shrink.
Bring late trucks, quality rejections, demand spikes, aging product, and vendor deals into one prioritized view. Show buyers what needs attention first, with resolution options and their projected impact on fill rate, margin, and shrink.
Learn more

Consistent decisions across stores and shifts
Afresh brings demand history, upcoming promotions and events, price changes, inventory, and shrink signals into each decision, so output quality is high regardless of who’s on the schedule.
New associates get guided steps through inventory counting and order review. Experienced managers spend less of the morning working through routine decisions.
Afresh brings demand history, upcoming promotions and events, price changes, inventory, and shrink signals into each decision, so output quality is high regardless of who’s on the schedule.
New associates get guided steps through inventory counting and order review. Experienced managers spend less of the morning working through routine decisions.

40%
40%
40%
faster ordering vs Computer Automated Ordering
94%
94%
94%
user adherence at scale

Reliable execution starts with a reliable foundation
Reliable execution starts with a reliable foundation
Afresh’s workflows are powered by proprietary data models, forecasts, inventory estimates, and decision models—connecting grocery-specific intelligence to everyday action.
Afresh’s workflows are powered by proprietary data models, forecasts, inventory estimates, and decision models—connecting grocery-specific intelligence to everyday action.
Afresh’s workflows are powered by proprietary data models, forecasts, inventory estimates, and decision models—connecting grocery-specific intelligence to everyday action.
