Thinking?/Commerce operations insights and applications

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Articles on pricing, stock and fulfilment workflows

Articles on pricing, stock and fulfilment workflows, with practical guidance for commerce and distribution teams.

Commerce operations covers the day-to-day work that moves margin and service: pricing changes, stock positioning, replenishment, fulfilment routing and order orchestration. These articles focus on how those workflows run across distribution, B2B commerce and multi-channel retail, drawing on patterns we see inside mid-market organisations. Read these to understand where applied AI improves the work itself, where it adds friction, and how to identify the workflows worth starting with. Practical, system-agnostic guidance for teams running real commerce operations.

Unified Commerce Intelligence: Orchestrating Revenue Across Omnichannel B2B Transactions

Unified Commerce Intelligence: Orchestrating Revenue Across Omnichannel B2B Transactions

A £60M foodservice distributor processes orders through four channels: Shopify Plus, EDI feeds, phone, and WhatsApp. Each channel lands in a different system. Web orders sync to the ERP overnight. EDI orders arrive every 15 minutes but don't update inventory visibility until the next batch run. Staff key phone orders directly into the ERP. Staff transcribe WhatsApp orders into a spreadsheet, then manually enter them. The operations director calculated the cost. Pricing inconsistencies between channels cost £180K annually in margin leakage. A customer quoted £4.20/kg for chicken thighs on the phone receives a different price (£4.45/kg) when they order the same product via the website three days later. They call to query it. The phone team has no visibility of the web order. They create a second order. By the time staff spot the duplicate, the customer has been invoiced twice and the stock has been picked. Resolution takes 90 minutes and involves three people.

Jun 10, 2026Read article
Agentic AI Observability: Detecting When Your Autonomous Systems Are Operating on Bad Data

Agentic AI Observability: Detecting When Your Autonomous Systems Are Operating on Bad Data

Agentic systems fail quietly. A pricing agent drifts 2% below target margin over eight weeks, processing 4,200 decisions before anyone notices. Margin leakage: £87,000. The agent didn't crash or throw errors—it just made slightly wrong decisions, consistently, for two months. Gartner predicts 40% of agentic AI projects will be cancelled by 2027, primarily due to silent degradation that compounds into operational disasters.

Jun 3, 2026Read article
Quote-to-Cash Intelligence: Why Manual Quotation Processes Kill B2B Deals

Quote-to-Cash Intelligence: Why Manual Quotation Processes Kill B2B Deals

Three days to generate a B2B quote while competitors respond in hours. Manual quotation processes create systematic disadvantage - delayed responses, pricing errors, approval bottlenecks. Intelligent automation transforms quote generation from operational burden to competitive advantage.

Jan 12, 2026Read article