The Inventory Mirage: Warehouses Full, Customers Still Waiting
The Inventory Mirage: Warehouses Full, Customers Still Waiting
How a global manufacturer and distributor replaced ERP/WMS/TMS silos with an Inventory & OTIF Control Tower — reducing excess stock, improving delivery reliability and giving sales a trustworthy answer to one critical question: “Can we actually promise this order?”
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📋 Strategic Blueprint Based on Real-World Scenarios
This case story illustrates a common data challenge for manufacturing, distribution and logistics organizations: fragmented ERP, WMS, TMS and sales data creating false confidence in inventory availability. Do your teams argue about stock instead of acting on it? Let’s map your Inventory Control Tower →
The company had warehouses full of stock — and still failed to deliver what customers needed.
A global industrial manufacturer and distributor had inventory across six warehouses in Europe and North America. On paper, the business looked well stocked. The CFO saw working capital locked in inventory. Sales saw “available” products in ERP. Operations saw warehouse locations full.
But customers saw something else: incomplete deliveries, delayed orders and unreliable commitments. The root cause was not a simple shortage. It was an inventory mirage: ERP, WMS, TMS, forecast files and sales spreadsheets all described a different version of availability.
Some products were visible in ERP but blocked in WMS. Others were physically present in the wrong region. Slow-moving SKUs consumed space and cash, while fast movers were protected by outdated safety stock rules. Every team had data. No one had the truth.
The Breaking Point
The turning point came during a renewal negotiation with a strategic B2B customer. The customer demanded a reliable service-level commitment for a key product family. Sales promised based on ERP availability. The warehouse later confirmed that part of that stock was reserved, blocked or sitting in the wrong region.
The order shipped late and incomplete. The customer moved part of the volume to a competitor. The post-mortem revealed the painful truth: the company had enough total inventory, but not enough decision-grade visibility to promise, allocate and replenish correctly.
An Inventory & OTIF Control Tower above operational systems.
Multishoring designed a governed analytics layer that did not replace ERP, WMS or TMS. Instead, it connected them into one trusted view of availability, delivery performance and working capital risk.
Map the data reality
We audited ERP, WMS, TMS, order management and forecast spreadsheets to identify conflicting inventory definitions and broken handoffs.
Build the single source of truth
Azure Data Factory pipelines consolidated operational data into a governed Azure data layer with standardized SKU, location and customer dimensions.
Define OTIF and availability logic
We aligned business and IT around one OTIF definition, available-to-promise rules, blocked stock treatment and inventory segmentation.
Deliver exception-based control
Power BI dashboards and alert logic highlighted stock-out risk, excess inventory, slow movers and orders likely to miss OTIF before the customer felt it.
Technology Architecture
The Control Tower became a decision layer above existing systems: operational platforms continued to run the business, while Azure and Power BI turned fragmented data into trusted operational intelligence.
Source systems
- ERP for orders, master data, reservations and financial inventory value
- WMS for physical stock, locations, quality holds and warehouse movements
- TMS and carrier data for shipment status and delivery timestamps
- Forecast and sales inputs for demand signals and priority customers
Azure data layer
- Azure Data Factory ingestion and orchestration
- Azure Data Lake / SQL warehouse for integrated history
- Semantic model for SKU, customer, warehouse and order logic
- Data quality checks for conflicting availability and missing movements
Business layer
- Power BI Inventory & OTIF Control Tower
- Available-to-promise cockpit for sales and customer service
- Slow-moving and excess inventory watchlists
- Exception alerts for stock-out, OTIF and warehouse risks
A Supply Chain Manager’s Week: Before & After
The project changed the rhythm of decision-making. Instead of debating which system was right, teams started acting on shared exceptions.
“The warehouse said stock was blocked. ERP said it was available. Sales had already promised it. Everyone had data, but nobody had confidence.”
“We stopped asking ‘which number is right?’ and started asking ‘which exception do we fix first?’ That shifted the entire operating rhythm.”
From reactive stock firefighting to controlled inventory decisions.
The biggest win was not another dashboard. It was one operational language for availability, OTIF and inventory risk.
Before: Inventory Mirage
- ERP and WMS showed different stock availability for the same SKU
- Sales promised orders using outdated or incomplete availability data
- Slow-moving inventory blocked warehouse space and working capital
- OTIF failures were analyzed after the customer had already escalated
- Finance saw rising inventory value but could not see which stock was useful
After: Inventory Control Tower
- One trusted view of stock, reservations, quality holds and order demand
- Available-to-promise logic aligned across sales, warehouse and planning
- FSN/ABC segmentation exposed slow movers and excess stock by location
- OTIF risks were detected before shipment deadlines were missed
- CFO and supply chain teams could connect service level with working capital
Quantifiable Business Impact
The solution created measurable value by improving delivery reliability while reducing unnecessary inventory buffers.
Supply chain analytics that connects daily operations with financial outcomes.
We combined data architecture, BI design and business KPI governance so the Control Tower could be trusted by supply chain, finance, sales and IT.
ERP/WMS/TMS Data Integration
We connect operational systems into an analytics-ready data layer without forcing a risky rip-and-replace program.
Map your data silosPower BI Control Towers
We build executive and operational dashboards for OTIF, stock-out risk, inventory aging and customer service performance.
See Control Tower approachInventory ROI & Working Capital Analytics
We help CFOs and supply chain leaders quantify how inventory decisions affect cash, margin and service level.
Build the business caseYour path to reliable inventory visibility.
Inventory Data Audit
We review ERP, WMS, TMS, order and forecast data to identify where availability, reservations and delivery status diverge.
Control Tower Pilot
We build a focused pilot for one region, warehouse network or product family to prove OTIF and working capital value.
Scale to Network Visibility
We expand the model across warehouses, customers and product categories, adding governance, alerts and executive reporting.
“Inventory problems are rarely just warehouse problems. They are usually visibility problems. When ERP, WMS, TMS and sales data finally speak the same language, companies can protect customer promises without hiding behind expensive safety stock.”
