Putting AI to work in logistics.
Field-tested notes on integrating AI into real operations, from warehouses and cold stores to fleets, plants and farm co-ops, written by people who have built for those sites.
Seven steps from “where does AI fit” to a live integration
How redfly takes one AI integration from a first conversation to live use across your operation, which of the seven steps we share with you, and what your people do at each one.
October 31, 2026The redfly Portal: where alerts, suggestions and dashboards land
AI output only helps when someone can see it and act on it. Here is what lands in the redfly Portal, who acts on it, and why a person stays in charge.
October 31, 2026Where an AI integration reads from: your system's API or a copy of its database
An AI integration can read from your warehouse system's API or from a copy of its database. Here is what each path needs from your IT team and how we choose between them.
October 31, 2026Where does AI fit in a warehouse? A way to find out without guessing
You do not need to know what you want from AI. Start from how the work is done today, walk the floor, and look for the places where people re-key, re-check or wait.
October 15, 2026Why AI pilots fail on a busy floor, and what a good one looks like
An AI demo runs on clean data in a quiet room. A floor has peaks, exceptions and shift changes. Here is why pilots fall over there, and how to run one that holds.
October 15, 2026Is your data ready for AI? What a logistics operation actually needs
Your data is in several systems and several sites, and some of it is paperwork, video and sensor readings. Here is what ready means in practice, and what to do when it is not.
October 15, 2026Cloud or onsite: where should AI run in a logistics operation?
Some AI work can run in the cloud and some has to run at the site. The internet link, the floor and the decision itself tell you which, one integration at a time.
October 15, 2026One integration at a time: how to start with AI without a big-bang project
The way to bring AI into a logistics operation is one well-built integration, in seven steps worked through together, rather than a wide programme that never quite lands.
October 15, 2026What to bring to a first conversation about AI
You do not need a wish list or technical knowledge. Bring how the work is done today, who does it and where people wait or re-key; that is enough for a useful first hour.
October 15, 2026Can you trust what the AI tells you?
AI answers can differ from one run to the next, which matters on a floor. Trust comes from a set of checks, a person in charge, and a pilot that earns it.
October 15, 2026Will your people use it? Designing AI output for the people who act on it
Adoption is decided on the floor, not in the meeting room. AI output has to land where people already look, stay short, and be right often enough to be worth reading.
October 15, 2026Spotty internet: what has to run at the site when the connection drops
Freezer dead zones and remote links mean the connection will drop. Some AI work can wait; some cannot. Decide per integration what runs at the site, and how it catches up.
October 15, 2026A melting pot of systems: integrating AI when every site runs something different
After a few acquisitions, every site runs its own warehouse system. One integration can read from each, through its API or a copy of its database, woven into the systems each site already runs.
October 15, 2026Paperwork, video, audio and sensors: AI beyond the transaction table
Orders and stock are only part of what an operation knows. Emails, bills of lading, dock cameras, radio calls and sensors each suit different AI work, and each has its own meaning of ready.
October 15, 2026Automated dock appointment booking, step by step
How dock booking works today, what an AI integration reads, how it proposes slots, who confirms them in the redfly Portal, and how it is piloted before the dock team relies on it.
October 15, 2026Other Products
Warehouse sync
Moving data from remote sites to the cloud: offline support, peak seasons, per-site encryption.
Warehouse sync notes →Caching and engineering economics
Serving reads from memory and cutting the database line of the cloud bill.
Caching notes →Want this in your inbox?
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