EXNRG

Case Studies

Engagements measured in outcomes, not deliverables.

Every engagement is anchored to a business challenge and a number that proves it was solved.

Manufacturing Multi-phase

Building a Connected Manufacturing Enterprise

Fragmented ERP, procurement, production, inventory, and supplier systems limited operational visibility and slowed business decisions across multiple production facilities.

Approach

Standardized business processes, modernized enterprise platforms, integrated procurement and manufacturing data, then layered analytics and AI-enabled insights for better planning and supplier collaboration.

Solution

A connected manufacturing ecosystem where procurement, inventory, production, warehouse, and business planning operate through a single digital foundation.

Improved inventory visibility, reducing stock discrepancies by an estimated 15-20%Improved supplier collaboration, cutting supplier-related delay detection time by an estimated 30-40%Faster operational decisions, reducing planning cycle time by an estimated 20-25%
Enterprise Platforms · Supply Chain · Manufacturing · AI & AnalyticsView Case Study
Retail & Distribution Multi-phase

Building an Intelligent Commerce Ecosystem

Disconnected inventory, warehouse, and fulfillment operations across multiple channels reduced customer experience and increased operational costs.

Approach

Assessed processes, connected suppliers and customer channels through enterprise platforms, improved forecasting with analytics, and enabled AI-supported inventory and fulfillment decisions.

Solution

A connected commerce ecosystem where customers, inventory, suppliers, and fulfillment operations operate as one integrated network.

Improved product availability, reducing stockouts by an estimated 15-20%Faster fulfillment, cutting order-to-delivery time by 1-2 days on averageImproved inventory utilization, reducing excess stock holding by an estimated 10-15%
Commerce Platforms · Inventory · Supply Chain · Analytics & AIView Case Study
Energy, Sustainability & Climate Multi-phase

Building a Sustainable and Intelligent Enterprise

Sustainability information was fragmented across operations, suppliers, and reporting systems, limiting visibility into environmental performance and strategic decision-making.

Approach

Focused on sustainability data governance, integrated operational and environmental information, improved emissions visibility with analytics, and enabled AI-driven sustainability planning.

Solution

An intelligent sustainability platform connecting business operations, environmental performance, and executive decision-making.

Improved carbon visibility, extending tracked emissions coverage by an estimated 30-40%Improved ESG reporting, reducing reporting cycle time by an estimated 40-50%Stronger sustainability governance, cutting manual data reconciliation effort by an estimated 25-35%
Enterprise Platforms · Carbon Intelligence · Analytics · AIView Case Study

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