Supply Chain Software
Built to Perform

WMS, voice picking, and AI purpose-built for complex distribution and logistics operations.

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Purpose-Built Solutions

Our Warehouse & Logistics Software

Warehouse Management System (WMS)

EPG's WMS is built for operational complexity — not just inventory tracking. It drives labor productivity and throughput, supports native voice and automation integrations, and connects AMRs, conveyors, ASRS, and goods-to-person systems without heavy customization.

LYDIA Voice

Picking Device-agnostic and backed by deep neural network voice recognition, LYDIA eliminates voice-template training and enables real-time language translation for multilingual workforces. Customers have seen 15–35% productivity gains and significant accuracy improvements.

EPG AURA AI Environment

AURA is an agentic AI layer built specifically for supply chain — not a horizontal platform. It connects WMS, ERP, TMS, yard systems, email, and documents, giving operations teams conversational access to enterprise data and automated exception management.

Success Story

Double-Digit Gains Without Disrupting Core Systems

States Logistics, a high-volume 3PL, implemented LYDIA Voice integrated with their existing Infor WMS. Without modifying core WMS logic, they achieved double-digit picking productivity gains, a 68% improvement in accuracy, reduced overtime, and 95% team satisfaction — with all pickers live by the end of the first week.

Success Story

WMS Built for Automation-Ready Complexity

MISUMI USA needed a WMS to manage 140,000+ stocked parts, 20 million configurable components, and a high-speed automated shuttle — all with same-day shipping. EPG's WMS launched for manual ops first, then integrated with Daifuku automation, delivering reliable fulfillment across both workflows.

Without the right warehouse technology, rising labor costs, picking errors, and siloed data will keep compounding.

EPG brings WMS, voice, and AI together under one platform strategy — purpose-built for operations that can't afford to fall behind.

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