Orders change when demand does, so fewer products run out.
Pay only what you owe
Duplicates, short deliveries, and changed bank details are caught before payment.
Keep plants running
Repairs land in planned downtime, with the part already on the shelf.
Trust the numbers
SAP, POS, and your reports agree before anyone acts on them.
Let's find where SAP exceptions cost you most
SAP stays as it is, and your team approves every change. Start with one plant, category, or report, or plan a roadmap for AI on SAP with us.
01Discovery
In a four-week assessment AWS can fund, we interview your planners and IT team, check one area's SAP data against your reports, and size what each problem costs.
02Proof of Concept
We test on last quarter's SAP data and agree on an accuracy target before building anything.
03Productization
We connect the agents to SAP through SAP BTP on AWS, and send each fix to your usual SAP approval step.
04Ongoing
We train your team, then track the exceptions caught, stockouts, and hours saved.
S/4HANA · Retail
cost of delay
easier to start
Demand Forecasting & Inventory
Invoice Processing
Predictive Maintenance
Sales Audit & Data Readiness
start here
Weekly sales · Store 014Week 12
Item
Wk10
Wk11
Fcst
Actual
Rice 5kg1,2051,1961,2401,212
Cooking oil 1L655610650644
Canned tuna910875900921
Instant noodles2,3802,4552,4302,412
Eggs, tray430445440452
Oat milk 1LNew item · Your planners
Bread loaf780802790786
Coffee 3-in-11,1201,0901,1001,134
Dish soap360372365359
Sugar 1kg520498510515
Soy sauce305311300296
Bottled water1,6401,7101,6901,702
Laundry powder610598605611
Toothpaste280291285277
Weekly sales · Store 014Week 12
Item
Wk10
Wk11
Fcst
Actual
Rice 5kg1,2051,1961,2401,212
Cooking oil 1L655610650644
Canned tuna910875900921
Instant noodles2,3802,4552,430Actual 2,4122,412
Eggs, tray430445440452
Oat milk 1LNew item · Your planners
Bread loaf780802790786
Coffee 3-in-11,1201,0901,1001,134
Dish soap360372365359
Sugar 1kg520498510515
Soy sauce305311300296
Bottled water1,6401,7101,6901,702
Laundry powder610598605611
Toothpaste280291285277
Pilot · 1 quarter of sales
−11 pts
Forecast error (WMAPE)
Target −10 pts
PO 4500018812Short for promoReview
Your stack
S/4HANA
SAP BTP
SAP MCP
AWS
Your team
Read
Check
Write
Verify
Ask
Inventory agentLive
Supplier changed case size
Orders went to your planners
9To your team
Re-mapped and checked
Tested on the last 8 weeks first
v12v13Old version kept
Back above threshold
94% caught. Nothing needed from you
Threshold 80%
Use cases that catch exceptions across SAP
Demand Forecasting & Inventory
Explain demand spikes with POS and outside signals, check open SAP orders before adding more, and draft the order change for a planner to approve.
Read invoices, delivery notes, and certificates in any layout, match them to the SAP purchase order and goods receipt, and send only the exceptions to accounts payable.
Good morning. Attached is our invoice for the 50 cold-chain crates. Thank you!
INV-0912.pdf1 page
Greenfield Farms
Exception
Invoice INV-0912 · $6,000
Hold allPost $5,760
INV-0912.pdf1 / 1
INVOICE
Invoice noINV-0912
POPO-77120
Crates50
Total$6,000
Fields read
Not a duplicate
Three-way match1 line off
POReceivedInvoice
Crates504850
Amount$6,000$5,760$6,000
2 crates short: pay for 48, hold $240
Supplier invoice
Draft
SAP · Greenfield Farms
48 crates received$5,760
2 cratesPayment block$240
Released for payment$0
3AP approves only the exception
Predictive Maintenance
Rank every machine by failure risk from line stops, SAP maintenance history, and sensors where fitted, then draft the repair, its downtime window, and the spare part for a maintenance manager to approve.
Risk ranked from line stops and SAP history
Repairs booked into planned downtime
Work order and parts request in SAP after approval
Check SAP against your POS, warehouse, and reports every day, fix duplicate product codes and unit errors, and send what the agent can't fix to finance with its cause.
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