Inventory Sync Automation Hub for Distributor & 3PL Network
Sapnity implemented an Inventory Sync Automation Hub on Power Platform for a large multi-country distributor working with multiple 3PL providers. The hub continuously reconciles stock between ERP, WMS and 3PL systems, eliminating stock drift and overselling risk.
1. Business Problem — ERP Says One Thing, Warehouses Say Another
The distributor ran a central ERP for orders and financials, but day-to-day stock was spread across internal warehouses and multiple 3PL partners. Each 3PL exposed different file formats, APIs and timings for stock updates.
- ERP showed “available to sell” based on overnight batch updates, not near-real time.
- 3PLs sent stock snapshots via SFTP, emails and APIs on different schedules.
- Sales and planning teams manually reconciled reports in Excel every morning.
- When a promotion hit, overselling and backorders were common in certain regions.
- Root cause for stock-outs was hard to attribute: demand, 3PL lag or sync errors.
On paper, systems were integrated. In practice, inventory truth lived in spreadsheets and phone calls with warehouse managers.
2. Sapnity’s Mandate
Supply chain leadership asked Sapnity to:
- Build an Inventory Sync Automation Hub that becomes the single place to see and govern stock truth across ERP and all 3PLs.
- Reduce stock drift between ERP and physical warehouses to an agreed, measurable tolerance.
- Provide near-real-time visibility to planners, sales and customer service.
- Standardise how inventory events (receipts, picks, adjustments, damages) are processed.
- Establish a reusable pattern to onboard new 3PLs and warehouses with minimal IT effort.
3. Before — Asynchronous Inventory & Blind Spots
Different 3PLs reported stock at different times and granularities. One sent hourly transaction feeds, another sent nightly snapshots, and a third sent weekly CSVs. ERP tried to be the system of record, but lagged reality.
- Sales promised deliveries based on ERP availability that ignored in-flight picks.
- Cycle counts revealed frequent mismatches between system and physical stock.
- Dispute calls with 3PLs focused on “whose data is right” instead of fixing processes.
- Planners padded safety stock to cope with uncertainty, tying up working capital.
Drift Heatmap — Where Mismatches Originated
| Source | Typical Drift Driver | Impact |
|---|---|---|
| Inbound receipts | Receipts posted in WMS but not yet in ERP | Stock appears late; false stock-outs |
| Outbound picks | Picks not decremented until shipment confirmation | Overselling during peaks |
| Adjustments & damages | Manual journals in WMS, delayed ERP posting | Unexplained variance in cycle counts |
| 3PL reporting lag | Weekly/overnight files instead of frequent feeds | Planners flying blind intra-day |
4. After — Sapnity Inventory Sync Automation Hub
Sapnity implemented an Inventory Sync Automation Hub that acts as a governed “stock truth” layer between ERP and all internal/3PL warehouses. It captures inventory events, applies harmonised rules and pushes updates to keep systems aligned.
Demand & Orders
Sales orders, replenishment plans, promotions and forecasts in ERP & planning tools.
Inventory Event Capture
Inbound, outbound, adjustments and transfers captured from WMS / 3PL feeds into a unified event model.
Reconciliation & Rules Engine
Configurable rules determine how each event updates ERP stock and what tolerances trigger alerts or holds.
Sync Orchestrator
Power Automate & Azure Functions orchestrate near-real-time updates and scheduled true-ups across systems.
ERP & 3PL Systems
SAP / Tier-2 ERP, internal WMS, multiple 3PL systems kept aligned via standard APIs and secure connectors.
Inventory Control Tower
Real-time stock position, drift indicators and exception queues for planners, supply chain and customer service teams.
Instead of reconciling spreadsheets, teams now work from a single, governed view of stock that reflects both system and physical realities.
5. Implementation Story
Phase 1 — Drift Baseline & Data Discovery
- Analysed 6 months of stock snapshots across ERP, internal warehouses and 3PLs for priority SKUs and locations.
- Identified patterns of drift by event type (inbound/outbound/adjustment) and by 3PL.
- Agreed on “tolerable drift” thresholds by product segment and service level.
Phase 2 — Hub Blueprint
- Defined a unified Inventory Event Model in Dataverse with consistent fields across all 3PLs and warehouses.
- Designed a standard sync pattern: near-real-time updates + nightly true-up + weekly audit reconciliations.
- Built a simple, transparent exception taxonomy for planners and supply chain.
Phase 3 — Build & Pilot (Two 3PLs, Selected SKUs)
- Integrated two 3PL systems and one internal warehouse into the hub using APIs and SFTP feeds via Azure Functions.
- Implemented rules to prioritise latest event and reconcile conflicting updates.
- Ran a 6-week pilot on high-value SKUs to validate drift reduction and performance.
Phase 4 — Scale-Out Across Network
- Onboarded additional warehouses and 3PLs using the same event model and connector templates.
- Extended coverage to long-tail SKUs and additional regions.
- Integrated the control tower dashboards into planners’ daily stand-ups.
Phase 5 — Optimisation & Governance
- Established monthly “Inventory Integrity” forums across supply chain, IT and 3PL partners.
- Tuned rules and tolerances based on seasonality and promotion patterns.
- Documented a standard onboarding kit for new 3PLs (data contract, SLAs, patterns).
6. Technical Architecture — Layered View
7. Reusable Inventory Sync Pattern for New 3PLs
The client gained a standard way to talk inventory with any current or future warehouse partner. New 3PLs plug into the same event model and rules, rather than forcing bespoke interfaces each time.
8. Outcomes & KPIs
| KPI | Before | After Sapnity Inventory Hub |
|---|---|---|
| Avg stock mismatch vs physical (priority SKUs) | 3–7% | < 1.5% across pilot warehouses |
| Monthly oversell / backorder incidents | 25–40 | < 8, mostly during extreme demand spikes |
| Planner time spent on manual reconciliation | ~2 hrs / day | < 30 mins / day focused on true exceptions |
| Safety stock uplift (vs designed) | +8–12% | +2–4%, with clearer drift visibility |
| Time to onboard a new 3PL | 4–6 months | 6–10 weeks using the sync pattern |
Instead of arguing about whose file was right, teams now discuss what to do about the data — promotions, rebalancing and service improvements.
9. Sapnity Differentiators
- Supply chain reality-first: Designed around how warehouses and 3PLs actually operate, not idealised integration diagrams.
- Event-based, not file-based only: Shifted the mindset from nightly file drops to a governed flow of inventory events.
- Transparent drift logic: Drift detection and tolerances are visible to planners and 3PLs, not hidden in code.
- Reusable onboarding kit: New 3PLs get a clear data contract and ready-made patterns, reducing integration friction.
- Enterprise-grade governance: Managed solutions, CI/CD and audit trails aligned with IT and supply chain compliance.
For this distributor, Sapnity turned inventory sync from a fragile patchwork into a repeatable, measurable capability that supports growth and new partners.