When stock runs low, the reorder runs itself.
Connect any vision or sensor feed. The moment it detects depletion, your agent decides — and PeakCommerce executes the purchase and reconciles it back to your ERP. No monitor on every shelf, no waiting on a count.
Vendor-neutral ingestion · Executes across any billing system, payment gateway, supplier & your ERP/WMS
Your ERP says in-stock. The shelf says otherwise.
Inventory systems track movements, not shelf reality — so they carry phantom stock, lag real consumption, and depend on manual counts. By the time anyone notices, you've stocked out. And static reorder points can't move at the speed an agent now expects.
Detecting the empty shelf
Cameras and shelf scanners spot gaps and low stock at 90–95% accuracy. This layer is mature — we don't rebuild it. We ingest it.
Turning that signal into a settled purchase
Today's tools stop at an alert or a task for a human. Nobody connects detection → autonomous agent decision → executed transaction → reconciled back to the systems of record. That's what PeakCommerce does.
Three shifts just made this possible.
Vision got cheap and reliable
Shelf and object detection now runs at 90–95% accuracy on cameras most sites already have.
Agents can reason about buying
AI agents can weigh budget, contract, and par levels — and make the purchasing decision.
The execution layer was missing
Nothing connected the decision to a correctly-orchestrated, reconciled transaction. Until now.
Detection exists. Reasoning exists. PeakCommerce closes the gap between them.
We don't build the camera. We own the hard part.
Execution & reconciliation
The defensible work isn't seeing the gap — it's executing the purchase correctly across billing, entitlements, and supplier, then reconciling every system. That's our orchestration moat.
Vendor-neutral ingestion
Works on top of the vision stack you already have — cameras, shelf scanners, IoT sensors. An independent layer, not another silo to rip in.
Keep your ERP
No re-platforming. We let legacy inventory move at the speed of agentic commerce by writing corrected, timely truth back to the system of record.
Sense. Decide. Execute. Reconcile.
Detect depletion
Any vision or sensor feed flags low or empty stock in real time.
Your feedAgent reasons
Your agent weighs par levels, budget, contract, and preferred vendor — then decides.
Your agentTransact correctly
PeakCommerce places the order and orchestrates billing, entitlements, and the supplier.
PeakCommerceWrite back the truth
The ERP and WMS are updated and kept in sync — no shadow process, no drift.
PeakCommerceSits on top of the vision layer you already run.
Shelf and inventory vision is a mature, multi-vendor market. PeakCommerce ingests from it — the execution layer these signals were missing, not another scanner.
Listed to show the category is real and where PeakCommerce fits — as the layer above these feeds, not a competitor to them.
A hospital supply room, end to end.
A ceiling camera flags the nitrile-glove bin at one sleeve remaining.
The procurement agent checks par level and the GPO contract, then approves a 6-case reorder from the preferred vendor.
PeakCommerce places the PO, applies contract pricing, and orchestrates billing.
On-hand counts and the ERP are corrected — no stockout, no manual count, no shadow spreadsheet.
Earn autonomy. Don't assume it.
The bar for triggering a purchase is higher than for flagging a discrepancy. Start as a recommender, prove the detection on real shelves, then graduate to fully autonomous reordering.
Suggest & correct
Agent proposes reorders and writes corrected counts to the ERP for one approval cycle.
Auto within guardrails
Auto-reorder inside budget, vendor, and par-level limits; humans handle exceptions only.
Hands-off replenishment
Full agent-driven detect-to-reorder, reconciled continuously across every system.
Best where consumption was never digitized.
The clearest wins are physical stock that never passes a scanner — shared supplies, back-of-house, field environments — where depletion is visually unambiguous and nobody wants a sensor on every shelf.