Infios adds AI tools to warehouse management software

Infios has added new artificial intelligence features to its warehouse management software, introducing three warehouse-focused tools to its broader supply chain product range.

The new functions cover error resolution, a knowledge assistant and coaching for warehouse staff. They are intended to reduce manual work in day-to-day operations and help warehouse teams respond more quickly to disruptions.

The first tool, Intelligent Error Resolution, uses warehouse management system data to identify problems such as blocked orders or misplaced inventory. It provides root-cause insights and recommended actions within existing workflows, aiming to cut the time staff spend investigating issues.

Another addition is an AI-powered knowledge assistant built into a chat interface. Infios says the tool draws on product documents and company operating procedures to answer operators' questions in natural language, potentially reducing the need for staff to search manuals or wait for supervisor support.

The third feature focuses on workforce management. Infios says its Warehouse Associate Coaching tool analyses labour performance data and produces personalised coaching guidance in real time, allowing supervisors to give feedback without manual research.

Richard Stewart, Executive Vice President, Product and Industry Strategy, outlined the company's view of where warehouse software is heading.

"AI in the warehouse needs to move beyond experimentation to delivering real operational impact," said Richard Stewart, EVP, Product and Industry Strategy at Infios. "With Infios AI, we are embedding intelligence directly into execution workflows, so when conditions change, operations can analyze, recommend and increasingly, take action in real time. This is how we help organizations move from reacting to problems to continuously optimizing execution."

Infios is positioning the new functions as practical uses of AI in warehouse operations rather than broad automation claims. The focus is on targeted interventions in routine processes, including problem diagnosis, access to internal knowledge and performance coaching.

Warehouse focus

Warehouse management systems have become central to logistics operations as companies try to handle fluctuating order volumes, labour shortages and changing inventory patterns. Software suppliers have increasingly added AI-based features to these platforms in an effort to make them more responsive to operational changes.

At Infios, the warehouse additions sit within a broader supply chain software portfolio that also covers order and transportation management. The business says it serves more than 5,000 customers across 70 countries.

Infios describes itself as a joint venture between Körber and KKR. That ownership structure places the company within a wider group of logistics and industrial technology investments at a time when warehouse operators are under pressure to improve accuracy and throughput without relying solely on extra labour.

Operational pressure

The case for the new software is that warehouse teams often lose time to repetitive tasks, fragmented information and slow issue resolution. Errors such as misplaced stock or blocked orders can disrupt fulfilment flows, while frontline staff often depend on experienced supervisors for answers to process questions.

By placing these functions directly into warehouse workflows, Infios is seeking to make software more active in operational decisions. It says its approach uses real-time data, internal knowledge and automation to support decisions as conditions change on the warehouse floor.

The launch also reflects a broader shift in the logistics software market, where vendors are trying to demonstrate measurable uses for AI in core operations. Rather than presenting AI as a standalone product, companies are increasingly folding it into existing systems that warehouse teams already use.

For customers, the practical test is likely to be whether such tools reduce time spent on exception handling, improve consistency among staff and support faster onboarding for new workers. Those are areas where warehouses often face persistent bottlenecks, especially during periods of high demand.

Stewart said the company sees AI as part of a broader change in how warehouse execution is managed.