Chatbot Development for Textiles & Apparel

Deflection is the wrong metric. A bot that frustrates people into giving up scores beautifully and costs you customers. We measure resolution, and we measure the handover quality when the bot steps aside.

In textiles & apparel, margins are thin and small automation gains matter more than sophisticated ones. That single fact reshapes how chatbot development 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 order and sampling documentation, usually integrated against export documentation systems. Every engagement opens with a measurement: the cycle time, the cost per transaction, or the error rate we are being asked to move.

Multi-model by default, so a provider outage is a routing decision rather than an incident. You own the code, the models where they are open-weight, and the documentation to run it without us.