Retail-Media Network Operations AI Agent (Retailer-Side)
Run on-site placements, onboard advertiser catalogues and hold the disclosure every placement requires — this is the retailer's own network, not the brand buying into it, and the network lead owns the policy.
An advertiser books a campaign, or a shopper's search sets the on-site auction running.
02
Normalise the catalogue, placement and auction fields, and mark each field's source.
Reason
03
Rank eligible placements against the auction and ranking policy the network lead configured.
04
Apply the disclosure label and format the surface requires — on-site, off-site or in-store.
05
Weigh the result against the retailer's own competing items and prior ranking outcomes.
Decide
06
Flag placements that would out-rank policy, crowd disclosure, or push ad load past its ceiling.
07
Route every policy exception and new advertiser catalogue to the named network lead.
Out
08
Retain the auction inputs, the placement, the disclosure applied and the lead's decision.
09
Execute write actions only inside the approval boundaries agreed during implementation.
→Product statement
The agent ranks and discloses the placement; the network lead sets and changes the policy, and the retailer stays accountable for what runs on its own site.
2Auction context assembledAdvertiser tier, catalogue data, ranking-policy inputs and prior placements, each sourced
3Ranking proposedRanked placement, disclosure label, ad-load reading and confidence
4Controls appliedPolicy checks, disclosure checks, self-preferencing checks and confidence threshold
No human action required
Stages 1 to 4 run unaided, and nothing serves outside policy at any of them — the agent ranks and discloses, and the network lead's lane opens at the confidence gate.
5DecisionBranches at the confidence threshold
High confidence
Goes to the network lead to approve.
Low confidence
Adds a second monetisation read first.
Network lead review
The placement is held with its auction inputs, its policy flags and the confidence.
Approve · Edit · Escalate to policy review
Approved — cleared to serve▼
6Ad-server and disclosure systems updatedOnly where write access and approval policy allow it
7Outcome evaluatedRanking accuracy, disclosure outcomes, onboarding results and post-serve corrections
Edits
Every network lead edit is counted in the evaluation.
What should not run autonomously
Human approval stays in control
Outside the boundary — human approval required8 items
Changing an auction or ranking rule.
Setting the on-site ad load.
Approving a creative for the storefront.
Issuing advertiser-facing measurement.
Automation boundaryAgent acts unaided
✓Run the on-site inventory and placements against.
✓Onboard advertisers and their catalogues against the configured requirements.
✓Apply and hold the disclosure label the placement's surface requires.
✓Produce the measurement report, and hold it for release.
Any write happens inside the boundaries agreed at implementation, never ahead of the lead.
Resolving a billing or rebate dispute.
Declaring the ranking self-preferencing-free.
Certifying a metric as MRC-accredited.
Changes to policy, escalation rules or approval thresholds.
Example output
One placement, annotated
Everything the agent ranks is attached to the auction it was drawn from.
Placement-ranking output · single placementIllustrative example
Placement
Finding
Disclosure status
Evidence source
Confidence
Attribution
Own-brand ranking tie
A private-label item and a paid placement tie in the ranking, one rung above where the auction score alone would place it
Disclosure: label pending
This week's auction log
83%
Network lead name on file
As receivedTaken from this week's auction log and the disclosure config — nothing on this side is written by the agent.
Why it's flaggedThe tie sits above where the auction score alone would place it.
ActionApproveEditEscalate to policy review
What the score decidesBelow the configured threshold the flag picks up a second monetisation read before.
Value
Where AI adds value
The same four claims, placed at the point in the workflow where each one applies.
Where the value landsValue 01 – 04
Every placementFrom the auction log
03Ranking
Rank every placement
Score each candidate against the catalogue data and the network lead's written auction and disclosure policy.
01Approved path
The house marks its own homework
A retailer that sells the ads, sells the private-label item beside them and reports the results sits on every side of the sale — the reason the rules stay a written policy a person set, not a claim of neutrality.
02Human review
Send review to the exceptions
Policy exceptions and low-confidence rankings are marked, so the lead's read starts where the conflict concentrates.
04Build an evidence trail
The placement, the auction rule behind it and the network lead who set it stay on the campaign.
Integrations
Typical integrations
Five system groups connect to the same agent. Which of them are in scope is decided in discovery.
A network-level disclosure rate can look complete while the gap concentrates in one advertiser tier. Nestack reports the policy-exception rate by tier, not only in total.
Slice performance — reported separately, not only in aggregateIllustrative example
Slice
Failure rate
Lift
Lift vs. threshold
Status
Placements competing with own-brand items
7.6%
3.9×
Review
In-store and off-site extensions
5.8%
3.0×
Review
Newly onboarded advertiser catalogues
3.4%
1.8×
Watch
On-site sponsored product, steady state
1.9%
0.7×
Normal
Bar: policy-exception rate lift vs. the steady-state on-site baseline · scale 0–4.0× · tick at 2.0×2 of 4 slices over threshold
Evidence-linked improvement
Every cycle ends with one more disclosure case
A cycle closes when the undisclosed placement is a regression case the next release must pass. That suite is what the next campaign.
Improvement cycle · five stagesSwitchback — the path turns at Improve and returns at Learn
01Detect
Policy-exception rate rises in an advertiser tier.
02Diagnose
The auction the house also competed in is checked against the policy, the disclosure label and the advertiser tier until one cause explains it.
03Improve
The fix is versioned, with the campaigns that motivated it attached.
04Verify
Nothing releases until the affected disclosure cases pass again.
05Learn
The case is kept permanently, and the auction rules change with it.
Learn → DetectThe return edge. Detection next time runs against 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, ranking workflow, evaluation, integration, then production validation and handover.
WorkstreamWeek 1Week 2Week 3Week 4Week 5Week 6
01RMN discovery and boundary definition and it is logged..
02Commerce and ad-server source assessment.
03Auction and disclosure policy mapping and rule mapping.
04Catalogue ingestion and normalisation.
05Ranking logic and disclosure-label binding.
06Confidence scoring and exception routing.
07Network lead approval workflow.
08Commerce and ad-server integration.
09Disclosure and ranking cases.
10Guardrails and publishing controls.
11Campaign-trail instrumentation.
12Deployment, documentation and Agent Care handover.
12 workstreams · 6 weeks · bar shows the weeks a workstream is active — several run in parallelFinal 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 banner, one teamProductionProduction ad-server accessAdvancedMultiple banners / entities
Introduced at Pilot
Ranking against your policy and rules✓✓✓
Network lead approval✓✓✓
Disclosure baseline✓✓✓
Introduced at Production
Reporting by advertiser—✓✓
Escalation workflow in your systems—✓✓
Approved catalogue write-back—✓✓
Commerce-platform integration—✓✓
Introduced at Advanced
Multi-banner auction rules——✓
Multi-stage lead approvals——✓
High auction volume——✓
Multi-banner network controls——✓
Build priceFrom $5,000From $8,000Custom quote
Final build priceConfirmed after discovery based on integrations, workflow complexity, transaction volume, approval controls and deployment requirements.
Separate from buildBuild 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 bringWe build with it
01Your catalogue feeds and current placement inventory→Catalogue ingestion and placement-field mappingWeek 1
02Representative flagged and cleared placements→Ranking baseline, disclosure binding and policy extractionWeek 2
03Your written auction, ranking and disclosure policy→Auction, ranking and disclosure policy mappingWeek 1
04Access to relevant APIs, feeds or exports→Commerce-platform and ad-server assessment, then integration setupWeek 2
05Placements you would not want served→Ranking cases and failure-mode testingWeek 4
06What no placement may hide→Confidence scoring, exception routing, guardrails and approval controlsWeek 3
07Named network leads to review placements→Network lead approval workflow, then pilot and production validationWeeks 5–6
Nothing else is requiredDeployment, documentation and Agent Care handover are ours.
Delivery timeline
Four phases across six weeks
Phases cover the weeks the work truly takes, which is why the fifth carries evaluation and pilot.
PhaseW1W2W3W4W5W6
DiscoveryW1
BuildW2 – W3
EvaluateW4 – W5
Pilot & LaunchW5 – W6
Week focusW1RMN operations discovery, policy mapping and the automation boundaryW2Commerce-platform integration and the ranking baselineW3Ranking workflow, confidence logic and disclosure controlsW4Evaluation suite, disclosure checks and failure-mode testingW5Ad-server integration, pilot placements and targeted correctionsW6One campaign cycle served under the network lead, then Agent Care handover
Reading the bandA bar covers only the weeks its work is named in — the week 5 overlap is real, not padding.
At the end of W6Validation closes on live campaigns and Agent Care picks up monitoring.
DurationSix-week plan shown · typical delivery 4–6 weeks depending on scope confirmed in discovery.
Next step · Advertising AI agent
Build a retail-media network operations agent around your auction and disclosure policy.
Show us your placement inventory, your written auction policy and who signs off on onboarding. Bring in your network lead — we'll map where policy exceptions actually surface, and name exactly what stays theirs to decide.
