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Retail AI agent · Store associate

Store-Associate Copilot AI Agent

Answer product, stock and procedure questions on the floor, draft a task or shift change with the predictability premium already computed, and hold it for the store manager who publishes.

Typical delivery
4–6 weeks
Deployment
Your stack
Store manager
Before publish
After launch
Agent Care

What this agent does

Answers on the floor, proposes off it

In

  1. 01

    Ingest the posted schedule, the task queue.

  2. 02

    Normalise each store's calendar against the notice window and premium rules its own jurisdiction sets.

Reason

  1. 03

    Answer product location, price, stock-on-hand and procedure questions from the current record.

  2. 04

    Sequence the tasks already assigned to a shift by aisle and by the store's own layout.

  3. 05

    Draft a task or shift change and compute the predictability premium it would trigger.

Decide

  1. 06

    Flag any change falling inside a notice window, and leave who initiated it to a person.

  2. 07

    Route every proposed change to the store manager, and stop at the clock-out boundary.

Out

  1. 08

    Retain the proposal, the premium computed, the approver and what the change displaced.

  2. 09

    Execute write actions only inside the approval boundaries agreed during implementation.

Product statement

The agent proposes; the store manager publishes the change, and the employer stays answerable for the posted schedule.

Example workflow

One change, request to approval

  1. 1Request receivedFloor question, task queue, shift-swap request or a coverage gap
  2. 2Shift context assembledPosted schedule, notice window, time records, accommodation register and store layout
  3. 3Proposal draftedAnswer or draft change, premium computed, flagged lines and confidence
  4. 4Rules appliedNotice-window checks, clock-out boundary, accommodation constraints and confidence threshold

No human action required

Every stage before the confidence gate runs unaided, and nothing is published at any of them — the agent is drafting, and the manager's lane opens at the gate.

5DecisionBranches at the assignment gate
Qualified and free

Goes to the store manager to approve.

Unqualified or busy

Adds a district-manager read first.

Manager approval

The proposal is held with its premium, its flagged lines and the confidence.

Approve · Amend · Send to district review

Approved — released to publish

  1. 6Workforce systems updatedOnly where write access and approval policy allow it
  2. 7Shift evaluatedPremium accuracy, manager amendments, contested assignments and post-publication corrections

Reassignments

Every manager amendment is counted in the evaluation.

What should not run autonomously

Human approval stays in control

Outside the boundary — human approval required

8 items

  • Publishing, moving, shortening or cancelling a posted shift.
    • Classifying a change as employee-initiated.
    • Waiving or reducing a predictability premium.
    • Granting, changing or overriding a workplace accommodation.

  • Automation boundary

    Agent acts unaided

    • ✓Answer product location, price.
    • ✓Serve the current standard-operating-procedure text for the named owner.
    • ✓Sequence a shift's already-assigned tasks by store.
    • ✓Draft a change proposal with the premium pre-computed and flagged.

    Any write happens inside the boundaries agreed at implementation, never ahead of the manager's approval.

    • Issuing, recording or escalating discipline.
    • Answering a wage, leave, discipline or termination question.
    • Acting on any signal touching concerted activity.
  • Turning on a new monitoring or telemetry category.

Example output

One proposed change, annotated

Everything the agent proposes is attached to the shift record it was drawn from.

Assignment output · single shift

Illustrative example
Shift
Evening replenishment
Proposed change
Move the closing recovery task to the associate already rostered on that aisle
Notice window
Inside window
Rule of record
City fair-workweek ordinance
Confidence
91%
Premium
Computed, flagged for the manager

As received

Taken from the posted schedule and the time records — nothing on this side is written by the agent.

Rules used

  • Posted schedule
  • Notice-window rule
  • Accommodation register

Why this proposal

It names the change and what it displaces, and stops there and a person still decides.

What the score decides

Below the configured threshold the proposal picks up a district read before it reaches.

Action

ApproveAmendSend to district review

Value

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 shift

From the posted schedule

03Assistance

Answer from the record

Draw on store stock, layout and current procedures, and the notice rules configured for that jurisdiction.

01Approved path

Put the answer in the aisle

Routine floor questions are answered where the associate is standing.

02Human review

Send review to the changes that carry

Proposals inside a notice window are flagged, so the manager's read starts where the obligation sits.

04

Build an evidence trail

The task, who it went to and what it displaced stay on the shift record.

Integrations

Typical integrations

Five system groups connect to the same agent. Which of them are in scope is decided in discovery.

  • Task and workforce execution

    • Zebra Workcloud Task Management
    • Theatro

  • Labour scheduling

    • Legion WFM
    • UKG Pro Workforce Management

  • Enterprise workforce planning

    • Blue Yonder Workforce Management
    • Zebra Workcloud Scheduling

Agent

Store-associate copilot

  • Reads the record
  • Answers on the floor
  • Holds for approval

  • Store communications and ops

    • Zello
    • Teams Walkie Talkie
    • YOOBIC
    • Workcloud Store Operations

  • 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 posted schedule

Each wraps the one inside. The failure map names what gets past.

L6 · Outermost — last line of defence

Inward → L1 · closest to the model

L6Rollback / safe modeCut the agent back to lookup only when evaluation or production signals degrade.Roll back
L5Version monitoringTrack model, prompt, jurisdiction-rule and threshold changes.Track
L4TraceabilityRecord the proposal, the premium computed, the approver and what it displaced.Record
L3Manager approvalHold proposals for the named store manager; it governs publication, not whether an approved change was right.Gate
L2Policy guardrailsTest proposals against the notice window, the clock-out boundary and the accommodation register; a failure returns the proposal.Restrict
L1Confidence thresholdsRoute low-confidence proposals to a district read before the manager sees them.Require review
Model coreProposal produced — change, premium computed, flagged lines and confidence
L1 – L2
Test whether a proposal may stand
L3
Puts the publication in a manager's hands
L4 – L5
Retain what was assigned and what it displaced
L6
Reduces to lookup only when signals slip

How Nestack evaluates it

Evaluate the whole assignment path — not only the answer on the handset.

Coverage runs the whole depth of the workflow, and every layer is cut by slice.

Surface — what the associate is told

  1. E1Final-output evaluationDid the proposal fall inside a notice window, and was the premium computed against it?
  2. E2Step-level evaluationDid the agent read the live schedule, the right jurisdiction rules and the accommodation register?
  3. E3Tool evaluationDid it write to the correct store, the correct shift and the correct system?
  4. E4Confidence calibrationDo low-confidence proposals actually attract more manager amendments?
  5. E5Slice evaluationHow does performance change across specific associate cohorts?
  6. E6Business outcomeHow many published changes needed a correction or a premium paid late?

Floor — the shift the associate works

Failure modes

Where each failure originates in the agent

Seven modes, each at the stage it begins.

Agent lifecycle

Direction of processing →

  1. 01 · Retrieval

    1 mode

    • FL-03

      Superseded procedure served

      A withdrawn instruction is read from a stale procedure revision.

    Stage gathers

    Schedules, time records, with the source each came from

  2. 02 · Reasoning

    2 modes

    • FL-04

      Initiation misread

      A tap on accept is scored as the worker's own request.

    • FL-06

      Accommodation read as slowness

      Slower completion under an approved accommodation lowers the hours proposed.

    Stage proposes

    Proposed change, premium computed and confidence

  3. 03 · Tool / write

    2 modes

    • FL-02

      Write ahead of approval

      A change reaches the workforce system before the approval callback returns.

    • FL-05

      Push after clock-out

      A task notification lands on a device once the associate is off the clock.

    Stage writes

    Only where write access and approval policy allow it

  4. 04 · Output

    1 mode

    • FL-01

      Invented policy answer

      A leave or discipline question comes back as if it were settled policy.

    Stage returns

    The proposal the manager approves and

  5. 05 · Change / Version

    1 mode

    • FL-07

      Silent buffer regression

      A rule update shifts the meal-window buffer and every store crosses it at once.

    Stage tracks

    Model, prompt, jurisdiction rules and thresholds

  • Sev-1 · a held act performed by the agent
  • Sev-2 · a change published inside the window
  • Sev-3 · source degrades
See the complete Retail failure-mode catalogue

Affected slices

The average shift is not the exposed one

Variable-hour part-timers in a fair-workweek city, holding a second job around the posted schedule Nestack reports it by slice rather than in aggregate The cohorts that carry it are named, not averaged away..

Slice performance — reported separately, not only in aggregate

Illustrative example
SliceFailure rateLiftLift vs. thresholdStatus
Variable-hour part-timers, fair-workweek city3.2%3.6×Review
Associates with an approved accommodation2.3%2.6×Review
Newer and limited-English associates1.6%1.8×Watch
Tenured full-time, fixed schedule0.8%0.9×Normal

Bar: unlawful-window change lift vs. the all-assignment baseline · scale 0–4.0× · tick marks the 2.0× review threshold

2 of 4 slices over threshold

Evidence-linked improvement

The cycle ends inside the suite

Closing is a test being added, not a meeting being held about the failure That suite is what the following detection is measured against..

Improvement cycle · five stages

Switchback — the path turns at Improve and returns at Learn

  1. 01

    Detect

    Window breaches rise in one associate cohort.

  2. 02

    Diagnose

    The store manager walks the shift records behind each breach until the cause narrows to one.

  3. 03

    Improve

    A version, an owner and the shift records that prompted it, together.

  4. 04

    Verify

    Affected cases must clear before the change reaches the floor.

  5. 05

    Learn

    A standing case, and a change to how tasks are assigned.

  6. Learn → Detect

    The return edge. Detection next time is measured against a suite this cycle made 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, assignment workflow, evaluation, integration, then production validation and handover.

Workstream

Week 1Week 2Week 3Week 4Week 5Week 6

  1. 01Store workflow discovery and boundary definition.Week 1
  2. 02Workforce, task and time-source assessment.Week 1, Week 2
  3. 03Jurisdiction notice-rule and premium mapping and rule mapping.Week 1, Week 2
  4. 04Schedule, task and time-record ingestion.Week 2
  5. 05Assignment logic and premium computation.Week 2, Week 3
  6. 06Confidence scoring and manager routing.Week 3
  7. 07Manager approval workflow.Week 3, Week 4
  8. 08Workforce-system integration.Week 5
  9. 09Assignment regression cases.Week 4, Week 5
  10. 10Guardrails and assignment controls.Week 4
  11. 11Shift-trail instrumentation.Week 5, Week 6
  12. 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 tierPilotOne store, one formatProductionProduction store estateAdvancedMultiple banners / regions
Introduced at Pilot
Assistance on your systems and rules✓✓✓
Manager approval✓✓✓
Assignment baseline✓✓✓
Introduced at Production
Reporting by store format—✓✓
Approval workflow in your systems—✓✓
Approved workforce write-back—✓✓
Workforce-system integration—✓✓
Introduced at Advanced
Multi-jurisdiction notice rules——✓
Multi-stage district approvals——✓
High store count——✓
Enterprise workforce controls——✓
Build priceFrom $5,000From $8,000Custom quote
Final build price
Confirmed after discovery based on integrations, workflow complexity, transaction volume, 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.

  1. 01Your posted schedules and task templates

    Schedule, task and time-record ingestion

    Week 1

  2. 02Representative shifts already worked

    Assignment baseline and premium computation

    Week 2

  3. 03Your jurisdiction list and notice rules

    Jurisdiction notice-rule mapping and automation-boundary definition

    Week 1

  4. 04Access to relevant APIs, feeds or exports

    Workforce and time-source assessment, then integration setup

    Week 2

  5. 05Assignments that caused a problem

    Assignment cases and failure-mode testing

    Week 4

  6. 06What must never be assigned automatically

    Assignment scoring, escalation routing and controls

    Week 3

  7. 07A named store manager to approve changes

    Manager approval 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

Weeks reflect the work done in them, and the fifth carries two phases because both are live.

Phase

W1

W2

W3

W4

W5

W6

  1. DiscoveryW1
  2. BuildW2 – W3
  3. EvaluateW4 – W5
  4. Pilot & LaunchW5 – W6

Week focus

W1Store workflow discovery, jurisdiction mapping and the automation boundary

W2Task and roster sources in place

W3Assignment logic, confidence scoring and approval controls

W4Assignment cases and schedule guardrails

W5Workforce integration, pilot stores and targeted corrections

W6A full shift assisted under the store manager, then handover

Reading the band
Nothing is stretched to fill the band. Week 5 carries two phases at once.
At the end of W6
The verification pack is signed and Agent Care begins monitoring.
Duration
Six-week plan shown · typical delivery 4–6 weeks depending on scope confirmed in discovery.

Next step · Retail AI agent

Build a store-associate agent around the manager who publishes the schedule.

Show us your store formats, your workforce systems and who publishes a schedule. If your stores sit in a fair-workweek jurisdiction, the notice window is the first thing we map, because a change made inside it is already an obligation before anyone has reviewed it.

Typical delivery
4–6 weeks
Deployment
Your workforce stack
Store manager
Before publish
After launch
Agent Care available

Nestack Agents · Store-associate copilot

AGT-RT-10 · Agent Care available after launch

Build a store-associate agent

Four questions so the call starts from your actual setup — then pick a time that suits you.

About you
Your stores

No obligation. We’ll map the workflow, name the automation boundary and tell you if an agent is the wrong answer.