Blogs

Lumber and building materials distributors need to modernize to overcome fragmented systems, manual workarounds, and limited visibility across branches, yards, inventory, and customer operations. This fourth installment in our five-part series explores how a connected, industry-specific distribution platform can help standardize workflows, improve real-time decision-making, and build a more efficient, scalable operation.

This blog explores why accountability, not adoption speed, determines whether public sector agencies can trust agentic AI to make real decisions.

OEE multiplies, it doesn’t average—so a 90% line often really runs at 65%. Discover where your hidden factory is hiding, and how to recover the capacity you already own.

Most distributors still set stocking levels with outdated, manual processes, and legacy knowledge, tying up working capital in the process. In this blog, see how Infor AI inventory optimization delivers replenishment guidance inside existing ERP and procurement workflows—and how Team Air Distributing cut sourcing time from as long as 15 minutes to about 60 seconds.

Infor was named a Leader in the 2026 Gartner® Magic Quadrant™ for Workforce Management Technology. Explore the workforce trends shaping the market and how Infor is helping organizations respond.

Enterprise software implementation projects are judged on time and budget, but the real measure of success is user adoption—whether people at every level are still using the system as intended after go-live. The blog covers why user adoption typically breaks down, the best practices that hold it together during and after implementation, and the elements in Infor CloudSuite Distribution that drive it.

As interest rates rise again, corporates have more places to put idle cash. See four ways banks can modernize Earnings Credit, tiered interest, and fee structures to keep corporate deposits in house.

Most AI strategies stall between planning and execution. See how to find your highest-value AI use case first, then sequence what follows.

As AI adoption faces growing skepticism, hospitality leaders must balance efficiency with employee trust and human-centered service. Explore how operators can use AI while preserving the human side of hospitality.