Inventory-aware ads · Omnichannel orchestration · Multi-location retail

Your Phoenix stores went OOS on the hero SKU Friday. Your ads kept bidding through the weekend. Close the gap.

You run marketing across 50-1,500 retail locations. Your inventory system knows the moment a SKU drops below threshold in a state. Your ad platforms find out on the next batch sync. Three days of weekend ad spend flow into a product you cannot sell in the affected geography. The same three days, demand goes unmet at your overstocked stores in an adjacent state. Per-state action decisioning is the integration layer that converts the inventory event into per-geography ad-spend pause + bid throttle + GBP post rewrite + save-flow rerouting in minutes.

Audit your inventory-to-ads loop (Tier 1)Explore Fractional CMO operation

Published May 30, 2026

The OOS-overstocked split, in your operational reality

Phoenix stores lose their last unit of SKU A at 11:14am local Friday. Your inventory system records the event in the same minute. Google Ads is still spending against SKU A in the Phoenix DMA at 11:14:01am. Performance Max is still bidding on the asset group that anchors SKU A. The GBP post featuring SKU A is still live across the seven Phoenix-area locations. The save-flow propensity engine is still offering a SKU A coupon to abandoning carts in Phoenix.

Tampa stores have 47 units of SKU A on the same day — overstocked relative to demand. The same per-state layer that pauses spend in Phoenix should redirect spend toward Tampa, raise Performance Max target-ROAS on the SKU A asset group in the Tampa DMA, and update the featured-SKU post on the Tampa locations. The two actions are mirrored — pause where OOS, accelerate where overstocked — and both fire from the same per-state policy map.

The gap is not the inventory system. The gap is not the ad platform. They both work. The gap is the integration layer between them — and that layer runs on a batch schedule because nothing in either vendor’s product roadmap was built to close it.

We’ve built the action layer for retail multi-location operators. Here’s what we know.

You probably already have most of the pieces. An inventory system that emits stock events. Google Ads + Meta Ads with mature APIs. A Google Business Profile footprint your operations team maintains. A save-flow propensity engine and an attribution pipeline. Each piece works. The gap is the orchestration layer that owns the policy map, fires five mirrored downstream actions per stock event, enforces idempotency on retries, and emits attribution events so per-state revenue impact is measurable.

We have built this for multi-location retail operators across verticals. We know which inventory-system event shape holds up under your write volume. We know how to structure the per-state policy map so it stays sane as you open new states and add new SKU categories. We bring the runbook. Your team owns every artifact.

How we get from Tuesday batch to per-minute action

Step 1 — Tier 1 AI Readiness Assessment ($10k, 2-3 weeks). We audit your inventory-to-ads loop. We sample your last 30-90 days of stock events and the corresponding ad spend. Output: the per-state-per-SKU policy map specification, the five-action graph applied to your stack, an estimated build cost, and a per-channel rollout plan.

Step 2 — Tier 2 AI Swarm Setup Sprint ($25-50k, 4-8 weeks). We build the action layer end-to-end: per-SKU per-location stock-event ingestion, per-state policy map, Google Ads + Meta Ads mutation pipeline with idempotency, GBP post rewrite, save-flow rerouting hook, attribution event emission. Your engineering team receives the running system, all source code, all credentials.

Step 3 — Tier 3 Fractional CMO with AI Swarm ($15-25k/month, 6-month minimum, 1-2 days/wk). We operate the layer in production. Extend the per-state policy map as you open new markets. Add new SKU categories. Tune per-channel mutation timing. Roll up a monthly per-state action-effectiveness report. Coordinate with your inventory + marketing leadership on the policy map quarterly.

What changes for you

You stop running Monday post-mortems on weekend ad spend against OOS SKUs. The Performance Max budgets adjust when the inventory event lands, not when the Tuesday report surfaces.

You stop calling your franchisee in Tampa to say the SKU is overstocked and we are not promoting it. The action layer already raised target-ROAS in the Tampa DMA when the overstock event landed.

You can answer the question your CFO asks at every quarterly review: how much ad spend did per-state action decisioning save us last quarter, and at which stores. The per-action attribution events roll up per state per week.

You can onboard a new state or a new SKU category without re-wiring per-platform integrations. The policy map extends; the action graph stays the same.

Frequently asked

What is per-state action decisioning and why is the inventory system alone not enough?

Per-state action decisioning is the orchestration layer between your inventory system of record and every paid + organic + on-property channel. Your inventory system (Manhattan, Korber, Logility, NetStock, Cin7, Fishbowl, Ordoro, inFlow, Zoho) is good at the stock-on-hand primitive. It emits stock-event signals when a SKU crosses threshold at a location. The gap is everything that should happen next: pause Google Ads and Meta Ads spend on the OOS SKU in the affected state, throttle Performance Max bids on adjacent asset groups, rewrite Google Business Profile posts to swap the featured SKU per affected location, reroute save-flow propensity offers, and emit an attribution event so downstream reporting can join the action sequence to revenue impact. Building that downstream action graph is operator-side wiring.

How is inventory-aware ads different from omnichannel inventory orchestration?

Omnichannel inventory orchestration decides which channel gets the next available unit. It is a stock-allocation question — how to split the remaining inventory across DTC ecommerce, retail stores, marketplaces, wholesale, and BOPIS. Per-state action decisioning is the next layer down. Once the orchestration has decided where the inventory goes, this layer adjusts demand to match the allocation per geography. The two layers compose. Omnichannel orchestration without action decisioning produces correct allocation and wrong ad spend (you keep advertising the OOS SKU in the state that lost its allocation). Action decisioning without orchestration produces fast reactions to wrong allocation decisions. Operators at 50-1,500 locations across 50 states need both layers wired together.

What does Completions commit to on Tier 3 if we run this layer in production for us?

Tier 3 process commitments include: sub-minute action-trigger latency from per-SKU per-location inventory event to Google Ads + Meta Ads + GBP API mutation; idempotency keys on every action so retries do not produce duplicate pauses; per-action attribution event emission with full action-sequence trace; weekly review of the per-state action map with your inventory + marketing leadership; quarterly extension of the action graph as new channels and new SKU categories come online. We commit to the operating discipline. Per-channel latency is tuned per stack and recorded as engagement KPIs.

How does the layer integrate with Google Ads and Meta Ads safely?

Both platforms support geographic targeting + product-group exclusions + campaign-level pause via standard API mutations. The action layer maintains a per-state-per-SKU policy map. When a stock event fires, the layer looks up affected campaigns + ad groups + product groups per state, generates a mutation batch with idempotency keys, applies the batch, and writes an action log to the attribution pipeline. The Meta Ads API has analogous mutations. Building this once per platform and reusing the policy + retry + attribution wiring across platforms is the unlock — operators who build per-platform integrations in isolation re-build the policy + retry + attribution wiring three times.

Who owns the policy map, the action log, and the credentials post-engagement?

Your team owns the per-state-per-SKU policy map, the action log, the attribution event store, the inventory system credentials, and the ad-platform credentials. Completions owns the orchestration knowledge: the per-platform mutation runbooks, the idempotency-and-retry tuning history, the per-state expansion playbook as you open new markets. At engagement end we transition operational ownership back to your team over 30-60 days with documented handover.

How does the action stream connect to the rest of the marketing + revenue stack?

The action layer subscribes upstream to your inventory system and to the predictive stockout forecasting layer (so pre-emptive actions fire on forecast-stockout, not just on actual stockout). It publishes downstream: every per-state action emits a typed event into the attribution pipeline, where downstream reporting joins acquisition cost to per-state revenue + margin + customer-acquisition-cost delta. The action stream is the integration substrate between inventory state and marketing performance reporting at per-state granularity.

Start with the audit

Tier 1 AI Readiness Assessment ($10k, 2-3 weeks): we audit your inventory-to-ads loop, sample 30-90 days of stock events against the corresponding ad spend, and produce the per-state-per-SKU policy map specification. If you decide to build, Tier 2 ships the action layer. If you decide to operate it with us, Tier 3 runs it in production. You choose the next step at each gate.