Knowledge Base Automation for Retail

Documentation rots because updating it is nobody's job. Automated staleness detection makes the rot visible, which is the first step to fixing it.

In retail, store-level data is noisy and channels are usually not integrated. That single fact reshapes how knowledge base automation has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is markdown optimisation, usually integrated against e-commerce platforms. Integration comes before intelligence. A model that cannot reach your systems of record is a demo with good manners.

Multi-model by default, so a provider outage is a routing decision rather than an incident. Six weeks to something running in production, not six quarters to a strategy document.