Planning & Execution • Network Deployment Playbook

Forward Positioning Checklist (Dynamic Inventory Deployment)

Forward positioning is the discipline of placing inventory in the right locations to balance speed, cost, and service. This checklist focuses on segmentation, service targets, replenishment logic, and stability controls so forward deployment improves delivery without exploding inventory.

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Quality Gate: Strategy + Segmentation

Service promise defined (2-day, next-day, same-day by region/channel).
Network tiers defined (national DCs, regional DCs, forward stocking locations).
SKU segmentation completed (velocity, margin, size/handling, seasonality, return risk).
Target service levels set by segment (not one-size-fits-all).
Guardrails set (max inventory investment, max transfers, max stockout tolerance).

Inventory positioning is fundamentally a "where should I store inventory?" decision shaped by demand, economics, and customer expectations.

Quality Gate: Testing + Launch

Simulation/backtest completed (service improvement vs inventory investment vs transfers).
Pilot markets selected (mix of dense + sparse regions; include tricky demand patterns).
"Volume caps" set for early weeks (avoid whiplash transfers and unstable replenishment).
WMS/OMS/TMS integrations validated (allocation, ATP, transfer orders, tracking).
Customer experience monitoring enabled (delivery promise accuracy + cancellations/backorders).

Guardrail KPIs (Start with 8)

Delivery speed (median + tail, by region)
Fill rate / in-stock rate / backorder rate
Inventory turns + weeks of supply (by node)
Transfer volume + cost (and "regret moves")
Stockout recovery time
Order split rate (splits often increase cost)
Freight cost per order (or per unit)
Returns rate impact (forward positioning can change return patterns)

Key Risk Callouts

Risk: Speed gains, inventory explosion

If service levels are set too high for too many SKUs, forward nodes become expensive "mini-warehouses."

Risk: Transfer whiplash

Overreacting to short-term signals drives constant rebalancing and operational instability. Add dampeners and caps.

Risk: Bad assumptions about lead times

Wrong lead times and capacity constraints create false confidence and missed promises. Validate by lane and season.

Stabilization + Hypercare Expectations

Deployment command center active (daily KPI + exceptions + rule tuning decisions).
Clear tuning policy (who can change thresholds, segmentation, and transfer rules).
Vendor ↔ org support split defined (data, rules, integrations, defects/performance).
Hypercare exit criteria: stable KPIs + stable transfer behavior for 10 business days.
Runbooks finalized (spikes, promos, constraints, network disruption playbook).

Long-Term Maintenance

Monthly segmentation refresh (velocity shifts; new SKUs; regional demand changes).
Quarterly network policy review (service targets, cost guardrails, node roles).
Continuous improvement backlog (better signals, better forecast, better constraints).
Post-peak review (what moved too late, what overstocked, what under-positioned).

Forward Positioning Checklist (Dynamic Inventory Deployment)

Quality Gate: Strategy + Segmentation

Quality Gate: Data + Signals

Quality Gate: Deployment Logic