
Nothing costs as much as “overselling” and mis-selling. Any mismatch between actual inventory levels and what your channels show results in cancellations, support tickets and ranking loss (marketplaces penalize out-of-stock). An API-driven setup with a single inventory source makes all the difference: less manual work, more reliability and room to scale.
Core principles for a robust setup
Variant level, not just SKU – Keep stock by variant (size/color). One variant out-of-stock should not block the rest.
Single Source of Truth (SSOT) – One inventory service that writes/reads; all channels consume it.
Event-driven – Webhooks/queue for inventory changes (orders, returns, deliveries) instead of periodic batches.
Rate-limiting & retries – Marketplaces and shops have limits; build in back-off and “at-least-once” delivery.
Idempotential – Each mutation has a unique key (order_id + line_item_id + attempt) to avoid duplicate updates.
Latency budget – Aim for < 2-5s end-to-end update; anything above that increases oversell risk.
Audit & reconciliation – Daily “diff” between SSOT and channels; automatically fix discrepancies.
Practical architecture
Input side:
ERP/WMS (inbound, pick/pack, counting) → inventory.update events.
Supplier feeds/APIs (purchasing/ETAs) → reservations or “coming soon” inventory.
Returns/RMA → release after verification.
Processing layer:
Normalizer maps external variant keys to your variant_id.
Rules (safety buffer, channel-specific caps, pre-allocation for top sellers).
Queue (FIFO) + retry DLQ.
Output side:
Shop platform (Shopify/Woo) via Inventory/Stock APIs.
Marketplaces (Bol, Amazon) through partner APIs.
Ads/catalogs (GMC/Merchant Center) for visibility.
Rules that work in practice
Safety stock per channel: hold 1-3 pieces on fast sellers to accommodate overselling at peaks.
Min/max exposure: set upper limit per channel (e.g. max 5 visible on marketplace).
ETA logic: show “Within 2-4 days” when inbound is confirmed (with date), but push only live when ready.
Bundles/kits: stock of kit = minimum of components (and update both directions).
Pre-allocation: top-ranked listings get priority with low inventory.
KPIs to drive weekly
Overselling rate (< 0.5%)
Update latency p95 (< 5s)
Reconciliation drift (< 0.2%)
Cancel ratio by OOS (< 1%)
Support tickets “not available” (↓ trend)
Governance & management
Version control of rules (v1, v2) + rollback.
Change budget per day/SKU to control price fluctuations (if pricing is also in the flow).
Clear ownership: operations (rules), engineering (stability), commerce (channel priority).
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Shopify Inventory API – Overview (official docs)
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