Top 10: Warehouse Management Systems

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Warehouse management systems can slash just-in-case inventory.
The top warehouse management systems include Manhattan Associates’ Active Warehouse, Blue Yonder Warehouse Management and Oracle Warehouse Management Cloud

Early adopters of cognitive supply chains have achieved a 15% reduction in logistics costs and a 35% improvement in inventory levels, according to McKinsey’s 2026 Global Supply Chain Outlook.

Self-driving warehouse management systems (WMS) can trust their own data so much that they slash just-in-case inventory that previously sat gathering dust.

Using the right WMS provides higher accuracy and faster order-to-door times that manual warehouses simply cannot match.

Manufacturing Digital has ranked 10 of the top warehouse management systems.

10. Acumatica Warehouse Management System

CEO: John Case
Headquarters: Washington, US
Founded: 2008

John Case, CEO of Acumatica

Acumatica is a modern Cloud ERP with a built-in WMS module for small-to-midsize manufacturers.

It offers a consumption-based pricing model, rather than being based on a number of users, which can support warehouses with seasonal staff spikes.

The platform is mobile-first and uses AI to increase efficiency and detect anomalies. 

Its Order Orchestration Assistant can adjust the picking queue based on carrier arrival times and labour availability.

9. Epicor Warehouse Management System

CEO: Steve Murphy
Headquarters: Texas, US
Founded: 1972

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Epicor’s WMS is tailored for mid-market manufacturers and often integrated with the Epicor Kinetic ERP.

It focuses on mobility, providing a consumer-grade user experience on handheld devices that reduces training time to nearly zero.

Epicor has optimised its mobile app Kinetic Warehouse specifically for high-bay environments. 

Using advanced camera-based scanning technology, workers can scan barcodes on the highest racks directly from a mobile device or wearable, often without needing specialised, expensive hardware.

8. Tecsys Elite WMS

CEO: Peter Brereton
Headquarters: Montreal, Canada
Founded: 1983

Peter Brereton, CEO of Tecsys

Tecsys Elite WMS is a specialised platform designed for healthcare, pharmaceutical and highly complex distribution.

It is built for high-stakes logistics, with precision in tracking expirations, serial numbers and regulatory chain-of-custody.

The platform features a native compliance engine that tracks pharmaceuticals at the individual unit level.

TecsysIQ is its proprietary AI layer, using machine learning to predict demand surges in hospital networks or service parts depots.

7. Infor CloudSuite WMS

CEO: Kevin Samuelson
Headquarters: New York, US
Founded: 2002

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Infor’s CloudSuite WMS prioritises visual management and micro-vertical manufacturing needs.

Rather than providing a generic WMS, Infor offers editions specifically tuned for industries like food and beverage, automotive and chemicals.

It features an embedded 3D Visual Warehouse interface, allowing managers to see facilities digitally and identify bottlenecks in real-time.

The system uses engineered labour standards to track individual performance against goals in real-time and provide workers with feedback.

6. Oracle Warehouse Management Cloud

Co-CEOs: Clay Magouyrk and Mike Sicilia
Headquarters: Texas, US
Founded: 1977

Clay Magouyrk and Mike Sicilia, Co-CEOs of Oracle.

Warehouse Management Cloud is part of the Oracle Fusion Cloud ecosystem.

It excels in inventory intelligence, using AI that looks at external market trends and production schedules to autonomously suggest moving inventory.

Warehouse Management Cloud allows managers to create a digital twin of their facility and run stress tests through a full digital warehouse model.

It can also manage both B2B and D2C in one warehouse, using AI to balance picking tasks so no order is delayed.

5. Softeon Warehouse Management System

CEO: Jim Hoefflin
Headquarters: Virginia, US
Founded: 1999

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Most WMS platforms require a third-party WES to manage robotics and complex automation, but Softeon is unique because its WES is native and embedded.

This cloud-based WMS is known for high-performance execution and advanced labour management.

It features a Distributed Order Management (DOM) system that can decide whether to fulfil a part order from the main factory, a regional warehouse or even a retail location the best based on cost, carbon footprint and speed. 

4. SAP Extended Warehouse Management

CEO: Christian Klein
Headquarters: Walldorf, Germany
Founded: 1972

Christian Klein, CEO at SAP. Credit: SAP

SAP Extended Warehouse Management (EWM) is a powerhouse WMS for enterprises running SAP S/4HANA.

It links warehouse floor movements directly to financial and production planning modules in real-time.

This allows for just-in-time and just-in-sequence staging where the warehouse knows the exact second a machine on the shop floor needs a specific component.

High-volume warehouses can run EWM on a decentralised server so that if the main corporate ERP goes down, the warehouse keeps moving. 

Smaller facilities can run it embedded within S/4HANA to save on infrastructure costs.

3. Infios Warehouse Management System

CEO: Ed Auriemma
Headquarters: Bad Nauheim, Germany
Founded: 2014

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Infios’ WMS is a highly adaptable suite designed for complex, high-automation environments and 3PL providers.

Following the rebranding of Körber Supply Chain Software in March 2025, Infios represents the successful merger of legacy powerhouses like HighJump and MercuryGate into a single, unified platform.

Its Robotics Hub is a vendor-agnostic plug-and-play system that allows warehouses to integrate different robot brands into one workflow in hours rather than months.

At the Manifest 2026 conference, Infios unveiled its Agentic AI capability. 

Unlike standard AI that just gives advice, Infios’ agents can take action. 

For example, if the system predicts a labour shortage for the afternoon shift, the AI agent can autonomously post gig work shifts to integrated labour platforms to fill the gap.

Infios has also pioneered a virtual reality (VR) picking tool used for rapid training that can reduce onboarding time by 70%.

2. Blue Yonder Warehouse Management

CEO: Duncan Angove
Headquarters: Arizona, US
Founded: 1985

Duncan Angove, CEO, Blue Yonder

Blue Yonder’s WMS is an AI-driven platform that forms part of the Luminate Cognitive Suite, focusing on end-to-end supply chain visibility.

It leverages Panasonic’s hardware expertise with deep machine learning to create a cognitive WMS that predicts labor shortages before they happen.

Its self-healing supply chain capabilities allow the software to fix inventory discrepancies without human intervention.

Blue Yonder has replaced traditional wave picking with pull-based streaming. 

Instead of releasing huge batches of work, the system streams individual tasks based on real-time carrier capacity and shipping dock availability. 

This ensures that the warehouse floor is never overcrowded and that the most urgent orders move first.

Following its August 2025 acquisition of Optoro, Blue Yonder has embedded specialised returns management directly into this WMS.

1. Manhattan Active Warehouse Management

CEO: Eric Clark
Headquarters: Georgia, US
Founded: 1990

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Built entirely on a microservices architecture, Manhattan Active Warehouse Management receives new features every 90 days.

Because it is 100% extensible, manufacturers can write their own custom code on top of it without breaking the core system.

Manhattan was the first to put a WES directly into the WMS, allowing for simultaneous resource orchestration that sees human pickers and autonomous robots as a single pool of capacity.

Its order streaming technology uses AI to constantly re-prioritise the queue, allowing for short fulfillment windows required by modern manufacturing-to-consumer models. 

Manhattan announced commercial availability of its AI Agents within all Manhattan Active solutions in January 2026.

“Our AI Agents represent a fundamental shift in how efficiently retail and supply chain solutions function,” says Sanjeev Siotia, EVP & CTO at Manhattan Associates. 

“We’ve combined deep domain intelligence with agentic automation to move beyond the hype of chatbots. 

“With their operational readiness, these agents diagnose root causes and orchestrate workflows to fix them efficiently. 

“They don’t just assist - they act. In this competitive and fast-paced ecosystem, our agents’ workforce gives our customers a simpler, faster and more efficient way to function and succeed.”

Executives