Food & Beverage AI agent · Fresh replenishment
Fresh-Replenishment Ordering AI Agent
Propose fresh orders inside the shelf-life assumptions your food-safety function owns, price waste and lost availability on every one, and hold the order for the manager who releases it.
- Typical delivery
- 4–6 weeks
- Deployment
- Your stack
- Manager decides
- Both costs
- After launch
- Agent Care
What this agent does
Orders for both costs, and reports both
In
- 01
Where demand comes from — sales history, waste records and stock positions in the replenishment system.
- 02
When units, cases and pack sizes differ by store, normalised, each line kept with the source it came from.
Reason
- 03
Where shelf life applies, it is read from the customer's own specification, never inferred from the data.
- 04
When an order is proposed, the waste cost and the stock-out cost are both computed and both shown.
- 05
Where a date rule applies in that market, the recommendation is configured to it rather than assumed.
Decide
- 06
When a proposal leans on a longer life than the specification sets, it stops and routes to food safety.
- 07
Where a line is fresh, the proposal defaults to recommend-only and waits for the named manager.
Out
- 08
When the cycle closes, the demand, the assumptions, both costs and the release are retained.
- 09
Where writes are configured, they run only inside the boundaries agreed at implementation.
Product statement
The agent proposes an order with both costs attached; the named manager releases it, and the customer's food-safety function keeps shelf life.
Example workflow
One line, demand to released order
- 1Demand signals receivedSales history, waste records and stock positions from the replenishment system
- 2Context assembledShelf-life assumptions, delivery days, the market's date rules and the stock on hand
- 3Order proposedQuantity, waste cost, stock-out cost
- 4Controls appliedChecks against the customer's own specification, the market's date rules, both-cost reporting and confidence threshold
No human action required
Stages 1 to 4 run unaided, and nothing is ordered at any of them — the proposal is held, and the manager's lane opens at the confidence gate.
Goes to the named manager to release.
Falls back to the standing order level.
Manager release
The order is held with its two costs, its assumptions and the confidence.
Release · Adjust · Send to fresh review
Released — the order may be placed
- 6Replenishment systems updatedOnly where write access and approval policy allow it
- 7Outcome evaluatedWaste and availability read together, adjustments made, and what the shelf looked like next morning
Adjustments
Every manager adjustment is counted in the evaluation.
What should not run autonomously
Human approval stays in control
Outside the boundary — human approval required
8 items
- Changing or extending a shelf-life assumption.
- Deciding whether product remains fit for sale.
- Rejecting a produce delivery, or deducting on it.
- Deciding whether a product may be sold past date.
Automation boundary
Agent acts unaided
- ✓Propose order quantities from the demand and the stock on hand.
- ✓Compute the cost of ordering short and of ordering long.
- ✓Apply the dating and holding rules the customer's plan already sets.
- ✓Show both costs together, and hold the line for the manager.
Any write happens inside the boundaries agreed at implementation, never ahead of release.
- Setting the date wording that reaches a label.
- Overriding a quality flag or a hold on stock.
- Optimising waste alone, without the other cost.
- Changes to assumptions, thresholds or release rules.
Example output
One fresh line, annotated
Everything the agent proposes is attached to the demand and the assumptions behind it.
Order output · single line, single store
Illustrative example- Line
- Chilled produce, one store
- What was proposed
- Order below the standing level on a chilled produce line
- Both costs
- Priced both ways
- Shelf life on the spec
- Set by the customer's spec
- Confidence
- 86%
- Date rule applied
- Configured for this market
As received
Taken from the replenishment record and the customer's own specification.
Source records used
- Store sales history
- Waste and markdown log
- Product specification
Why both costs show
Ordering less always cuts waste; the gap it buys on the shelf is what.
What the score decides
Below the configured threshold the order falls back to the standing level before.
Action
ReleaseAdjustSend to fresh reviewValue
Where AI adds value
The same four claims, placed at the point in the workflow where each one applies.
Where the value lands
Value 01 – 04
Every fresh line
From the store's own demand
Propose against both costs
Draw on the sales history, the waste log, the stock on hand and the assumptions the customer's plan already sets.
Order for both costs
Routine fresh lines arrive proposed, with both costs already priced.
Send the manager to the trade-offs
Lines where the two costs pull hardest against each other are marked, so the manager's read starts there.
Build an evidence trail
The order, the shelf-life assumptions behind it and the manager who released it stay on the line.
Integrations
Typical integrations
Five system groups connect to the same agent. Which of them are in scope is decided in discovery.
Replenishment and forecasting
- RELEX
- Blue Yonder
- SAP
- Symphony RetailAI
Store and POS systems
- POS feeds
- shrink logs
- Toshiba
- NCR Voyix
ERP and supply chain
- SAP
- Oracle
- Infor
- Item master
- delivery schedules
Agent
Fresh replenishment
- Reads the demand
- Proposes the order
- Holds for release
Specifications and quality
- Spec systems
- shelf-life records
- Quality holds
- supplier data
Observability & evaluation
- OpenTelemetry
- Langfuse
- Supported monitoring/evaluation sources
Integration availability depends on the client's existing systems and API access.
Agent controls
Six layers between the model and the order
The layers sit one inside the next. What none of them catches is in the map below.
L6 · Outermost — last line of defence
Inward → L1 · closest to the model
- L1 – L2
- Test whether an order may stand
- L3
- Puts the release in a manager's hands
- L4 – L5
- Keep the order and the assumptions behind it
- L6
- Falls back to standing order levels when signals degrade
How Nestack evaluates it
Evaluate the ordering workflow — not only the waste at the end of it.
Coverage runs the whole depth of the workflow, and every layer is cut by slice.
Surface — the order the store receives
- E1Final-output evaluationDid the order carry both costs over the same period?
- E2Step-level evaluationDid the agent use the right demand, spec and delivery schedule?
- E3Tool evaluationDid it read and write the correct line and the correct store?
- E4Confidence calibrationDo low-confidence proposals actually attract more adjustments?
- E5Slice evaluationHow does performance change across specific fresh categories?
- E6Business outcomeHow many orders needed an adjustment, or left a gap on the shelf?
Floor — the shelf the store answers for
Failure modes
Where each failure originates in the agent
Seven ways a fresh order goes wrong, placed by stage.
Agent lifecycle
Direction of processing →
01 · Retrieval
1 mode
- BO-03
Stale stock position
A superseded stock count is read as though it were current.
Stage gathers
Demand, stock, shelf-life assumptions and delivery days
02 · Reasoning
2 modes
- BO-04
Waste optimised alone
Order sizes fall and the stock-out cost is never priced.
- BO-06
Shelf life stretched
A proposal leans on a longer life than the specification sets.
Stage proposes
Quantity, waste cost, stock-out cost and confidence
03 · Tool / write
2 modes
- BO-02
Ordered before release
A proposal reaches the supplier before a manager released it.
- BO-05
Duplicate order
One line is ordered twice across two delivery days.
Stage writes
Only where write access and approval policy allow it
04 · Output
1 mode
- BO-01
Gap left on the shelf
The order is short and the line is unavailable for sale.
Stage returns
The order the manager releases to the supplier
05 · Change / Version
1 mode
- BO-07
Silent assumption drift
A model or parameter change widens what the agent will order.
Stage tracks
Model, prompt, assumption sets and market rules
- Sev-1 · an order placed before release
- Sev-2 · a shelf-life assumption moved
- Sev-3 · demand degrades, order routes to review
Affected slices
Overall waste can hide one bad cohort
Short-shelf-life produce is where the trade-off bites hardest, and it is the slice a single site-wide number buries. Nestack reports the manager-adjustment rate by fresh category, not only in total.
Slice performance — reported separately, not only in aggregate
Illustrative example| Slice | Failure rate | Lift | Lift vs. threshold | Status |
|---|---|---|---|---|
| Short-shelf-life produce | 9.1% | 3.7× | Review | |
| Promotional fresh lines | 6.9% | 2.8× | Review | |
| Newly ranged fresh items | 3.7% | 1.5× | Watch | |
| Established staple lines | 1.5% | 0.6× | Normal |
Bar: manager-adjustment-rate lift vs. staple-line baseline · scale 0–4.0× · tick marks the 2.0× review threshold
2 of 4 slices over threshold
Evidence-linked improvement
A cycle closes on a case, not a meeting
The cycle ends in a regression case, not in a meeting about what happened. That suite is what the next order placed on fresh is measured against.
Improvement cycle · five stages
Switchback — the path turns at Improve and returns at Learn
- 01
Detect
Adjustment rate rises in a fresh category.
- 02
Diagnose
Pull the orders, the two costs printed on them and the assumptions they leaned on, and keep narrowing until one cause is left standing.
- 03
Improve
Every change is versioned against the orders that exposed it.
- 04
Verify
A failing case holds the release back.
- 05
Learn
The case joins the suite for good, and the ordering rules are revisited.
Learn → Detect
The return edge. The next order meets a suite one case longer.
Typical build scope
Twelve workstreams across six weeks
The build scope read against the delivery timeline. Week structure follows the six-week plan — discovery, sources, ordering workflow, evaluation, integration, then production validation and handover.
Workstream
Week 1Week 2Week 3Week 4Week 5Week 6
- 01Fresh ordering workflow discovery and boundary definition.Week 1
- 02Replenishment, POS and ERP assessment.Week 1, Week 2
- 03Shelf-life ownership and market date-rule mapping.Week 1, Week 2
- 04Demand and stock ingestion.Week 2
- 05Ordering logic and cost binding.Week 2, Week 3
- 06Confidence scoring and hold routing.Week 3
- 07Manager release workflow.Week 3, Week 4
- 08Replenishment-system integration.Week 5
- 09Shelf-life and stock-out cases.Week 4, Week 5
- 10Guardrails and ordering controls.Week 4
- 11Order-trail instrumentation.Week 5, Week 6
- 12Deployment, documentation and Agent Care handover.Week 6
12 workstreams · 6 weeks · bar shows the weeks a workstream is active — several run in parallel
Final scope and sequence confirmed in discovery
Engagement tiers
What each tier includes
Rows are the capabilities named in each tier's scope. Higher tiers include everything below them.
| Capability✓ in scope · — not at this tier | PilotOne category, one store | ProductionProduction replenishment | AdvancedMultiple stores / banners |
|---|---|---|---|
| Introduced at Pilot | |||
| Ordering to your demand and your spec | ✓ | ✓ | ✓ |
| Manager release | ✓ | ✓ | ✓ |
| Order-quality baseline | ✓ | ✓ | ✓ |
| Introduced at Production | |||
| Reporting by fresh category | — | ✓ | ✓ |
| Release workflow in your systems | — | ✓ | ✓ |
| Approved write-back | — | ✓ | ✓ |
| Replenishment-system integration | — | ✓ | ✓ |
| Introduced at Advanced | |||
| Multi-market date rules | — | — | ✓ |
| Multi-stage fresh approvals | — | — | ✓ |
| High store counts | — | — | ✓ |
| Multi-store ordering controls | — | — | ✓ |
| Build price | From $5,000 | From $8,000 | Custom quote |
- Final build price
- Confirmed after discovery based on integrations, workflow complexity, store and line counts, approval controls and deployment requirements.
- Separate from build
- Build pricing is separate from recurring Agent Care, which covers managed monitoring, evaluations, incidents and verified improvements after launch.
What we need from you
What you bring, and what we build with it
Each input maps to a piece of build scope and a week in the delivery timeline.
You bring
We build with it
01Your line list and delivery schedule
→Demand and stock ingestion and line mapping
Week 102Representative waste and gap history
→Ordering baseline, cost extraction and spec binding
Week 203Your specifications and who owns shelf life
→Shelf-life ownership and market date-rule mapping
Week 104Access to relevant APIs, feeds or exports
→Replenishment, POS and ERP assessment, then integration setup
Week 205Orders you would not want delivered
→Shelf-life cases and the evaluation suite
Week 406What no order may quietly change
→Confidence scoring, hold routing, guardrails and ordering controls
Week 307Named managers to release fresh orders
→Manager release workflow, then pilot and production validation
Weeks 5–6
Nothing else is required
Deployment, documentation and Agent Care handover are ours.
Delivery timeline
Four phases across six weeks
The bands follow the real work, which is why evaluation and pilot share the fifth week.
Phase
W1
W2
W3
W4
W5
W6
- DiscoveryW1
- BuildW2 – W3
- EvaluateW4 – W5
- Pilot & LaunchW5 – W6
Week focus
W1Fresh ordering discovery, spec ownership and the boundary
W2Source integration and the ordering baseline
W3Ordering workflow, confidence logic and release controls
W4Evaluation suite, shelf-life guardrails and failure-mode testing
W5Replenishment integration, pilot stores and targeted corrections
W6One ordering cycle run under the fresh team, then handover
- Reading the band
- A bar covers only the weeks its work is named in; the fifth carries two kinds at once.
- At the end of W6
- The cycle closes validation and Agent Care assumes monitoring.
- Duration
- Six-week plan shown · typical delivery 4–6 weeks depending on scope confirmed in discovery.
Next step · Food & Beverage AI agent
Build a fresh-ordering agent that prices both mistakes.
Show us a fresh category, its waste log and the gaps you already live with. Order short and the sale walks out of the store; order long and it goes in the bin at close of trade — we build the boundary around which of those you are willing to pay for, and who releases the order.
- Typical delivery
- 4–6 weeks
- Deployment
- Your fresh data
- Manager decides
- Both costs
- After launch
- Agent Care available
Nestack Agents · Fresh replenishment
AGT-FB-08 · Agent Care available after launch