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All Case StudiesSCM · Network Intelligence

Supply Chain Visibility and Demand Forecasting

An AI-powered logistics platform delivering real-time visibility and predictive intelligence across a national distribution network.

Client

National Distributor, Multi-Warehouse & Fleet

Industry

Supply Chain & Logistics

Duration

5 months

Year

2024

Supply chain control tower: shipment status across the network, demand forecast against actuals, and open exceptions

Background

A major national logistics and distribution company was managing a complex network of warehouses, fleets, and supplier relationships using disconnected legacy tools. Siloed data meant leadership had no unified operational view — decisions were reactive rather than predictive, and inefficiencies compounded across every tier of the supply chain.

The Challenge

The organization faced delays in shipment tracking, inaccurate inventory forecasting, warehouse inefficiencies, and limited operational visibility across their logistics network. Procurement workflows were manual and slow, delivery prediction accuracy was poor, and the lack of real-time data made it impossible to respond to disruptions proactively.

Our Solution

SageWare developed an AI-powered supply chain intelligence platform enabling real-time visibility, predictive analytics, logistics automation, and operational monitoring. We integrated IoT sensors across warehouse nodes, built an AI demand forecasting engine, and delivered a unified procurement intelligence dashboard connecting all operational data into a single pane of glass.

Key Deliverables

  • AI demand forecasting engine reducing inventory waste by 28% across distribution centers
  • IoT-integrated real-time shipment and fleet monitoring across the full logistics network
  • Unified procurement intelligence dashboard connecting all operational data sources
  • Automated alerts and reporting replacing manual operational review workflows

Results & Impact

0%
Logistics Efficiency
Operational logistics efficiency improved through automation and real-time routing intelligence
0%
Less Inventory Waste
AI demand forecasting reduced overstocking and stockout events across all distribution centers
End-to-end
Network Visibility
Shipments, fleet and warehouse nodes consolidated onto a single live operational view

How We Did It

01

Operational Discovery

Mapped all supply chain nodes, data flows, and identified the highest-impact visibility and forecasting gaps.

02

IoT & Data Integration

Deployed IoT sensors across warehouse nodes and built data ingestion pipelines connecting fleet, inventory, and procurement systems.

03

AI Platform Build

Developed AI demand forecasting engine, real-time shipment tracking, and automated alert and reporting systems.

04

Dashboard & Training

Delivered Power BI procurement intelligence dashboards, conducted team training, and provided 30-day hypercare support.

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