Technology

Distribution software has historically been built to record. Orders, invoices, stock movements, receipts — the systems that run distribution businesses are, at their core, extremely reliable ledgers. That was

Predictions about the future of any industry tend to be either too timid or too fanciful. The useful version sits in between: identify what is structurally constrained today, identify

Every distributor knows what needs to happen after a retailer says “I will pay on the fifteenth”. Someone should check on the fifteenth. In practice, in most distribution businesses,

Most explanations of AI collection software stay at the level of capability — it calls retailers, it captures commitments, it follows up. That is accurate and not especially useful

Ask a distributor how much money will come in next month and the honest answer is usually an estimate built on experience rather than evidence. The outstanding report shows

A distributor with two thousand retail outlets has, in theory, two thousand ongoing commercial relationships. In practice, most of those relationships are dormant between order and delivery, and communication

Most distributors evaluating AI telecalling are not starting from zero. They already have a calling function — sometimes a formal team, more often a handful of people who make

Ask a distributor what collections costs the business and the answer usually lands on the salary of the collections team. That number is the smallest part of the total.

If you run a distribution business, you have almost certainly been told in the last twelve months that AI can help you collect money faster. What is rarely explained

A distributor may manage hundreds or thousands of retailers. Every day brings new orders, outstanding invoices, payment commitments and follow-ups. The challenge is not simply knowing who owes money