The Mecalux Group enhances Easy WMS with generative AI

March 10, 2025

Easy WMS’s generative AI assistant responds to requests conversationally

Mecalux Software Solutions has integrated generative artificial intelligence (AI) into its Easy WMS warehouse management system, enabling it to process requests naturally, simulating human conversation and interaction.

Users can engage with the system through a chat interface that interprets and responds to complex queries in seven languages. This capability streamlines decision-making and facilitates actions aimed at enhancing warehouse efficiency.

Generative AI applications in Easy WMS

Easy WMS’s generative AI-powered chat can perform several tasks:

  • Data inquiries. Users can ask about any warehouse-related aspect, such as the status of pending rush orders or the current inventory for a specific product. The AI understands questions and retrieves data from Easy WMS, providing precise answers in different formats, including figures, lists, tables, and charts.
  • Generate KPI dashboards. AI simplifies the creation of custom dashboards for monitoring warehouse processes. It can summarize real-time information, such as outbound order status or facility occupancy levels. By interacting with users to determine what data they need, the AI automatically builds a dashboard with all requested key performance indicators (KPIs), metrics, and other markers.

Easy WMS’s AI tool answers complex questions via a chat

  • Creating reports. The AI tool generates downloadable and shareable reports containing key warehouse data, such as location restrictions. This information is compiled into a document based on a customizable template tailored to company preferences.
  • Designing views. Users can ask the AI feature to generate accessible views that can be consulted at any time from the Easy WMS menu. For instance, they can visualize blocked locations or inventory with the nearest expiration date.
  • Executing specific actions. Users can request AI-driven actions, such as releasing all express orders or unlocking a specific aisle. These requests are executed automatically, streamlining processes and reducing manual intervention. The system provides a summary of the action and affected elements. If confirmed through the chat, the action is carried out immediately.

AI and warehouse management: A step forward in logistics innovation

Integrating generative AI into Easy WMS represents a significant breakthrough in optimizing logistics operations. With the AI-powered chat, clients can streamline daily tasks, enhance processes, access data more efficiently, and minimize human errors. Additionally, the AI system continuously evolves through user feedback, refining its responses and better adapting to changing needs. This ensures greater efficiency and accuracy in operational decision-making.

Easy WMS’s AI feature creates customized dashboards

Other generative AI applications at Mecalux

The Mecalux Group is expanding the use of generative AI across different areas of the company, integrating this technology into its internal tools. The goal is to optimize internal processes, improve software quality, maximize resource utilization, meet market demands, and drive innovation in client solutions.

For the team responsible for developing and customizing Easy WMS, Mecalux Software Solutions has implemented AI in two critical tools:

  1. Web portal for programmers. With AI assistance, developers can quickly access the documentation they need to complete their tasks more quickly. They ask questions in natural language, and the AI navigates repositories to retrieve precise information.
  2. Easy Builder, the Easy WMS development platform. This tool is designed to support programmers and enhance software quality. Developers can leverage the AI assistant to generate code, identify inefficiencies, and request clarifications through natural language descriptions.

The Mecalux Group incorporates generative AI into its internal tools to optimize processes, enhance efficiency, and streamline decision-making