From Reactive Reporting to Proactive Intelligence: How AI Agents Are Changing Distributor Analytics
Introduction Distribution businesses generate an enormous amount of data every day — every order, every product line, every account’s buying […]
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Introduction Distribution businesses generate an enormous amount of data every day — every order, every product line, every account’s buying […]
Every growing business eventually hits the same wall: it has more data than it can act on, and no reliable
Every week brings another announcement: a company has built an AI agent. It can answer questions, automate a workflow, handle
Every ERP migration eventually collides with the same wall: the data. Duplicates accumulated over decades. Records inherited from systems two
From data paralysis to intelligent decision-making. | Photo: jakub Zerdzicki via Unsplash
Conversational Business Intelligence (BI) helps teams interact with data using natural language while still getting trusted answers.
Most companies experimenting with generative AI are running into the same wall: their pilots look impressive but stall before delivering real value.
Many organizations feel pressure to adopt AI, but most aren’t sure how it fits into their work. A practical path to getting started.
Practical patterns for replacing manual Excel reporting with automated, repeatable pipelines that scale.
When data and the people who use it stop trusting each other, projects stall. How to identify and close the gap.