The cost of fragmented intelligence
The modern field rep is burdened by fragmentation — juggling disparate tools, spreadsheets and dashboards to prepare for a single store visit. Preparation latency is high, actionable insight is scarce despite an abundance of data, and tool fatigue eats into time on task.
A specialised sales companion, not a chatbot
The Gen AI Sales Agent was engineered as a purpose-built companion around three parts:
- An intelligent dashboard — a single pane of glass for customer and performance data.
- A conversational interface — ask, in plain English, "show me the best-performing SKUs for this outlet versus last month," and get a precise, structured answer back. It's powered by Large Language Models paired with a layer that turns the question into an exact query against your own data.
- An automated insight engine — continuously surfacing out-of-stock risks and recommendation opportunities before a rep even asks.
Four pillars of value
Every build is judged on four things: effectiveness (does it move the top line), efficiency (does it free people from manual work), adoption (will people actually use it), and output quality (can it be trusted). Accuracy is non-negotiable, so the model is continuously refined to keep answers consistent across chat and dashboard.
Proven in a controlled pilot
In a controlled pilot with real reps, the Sales Agent reached a peak of 91% answer accuracy, and 100% of participating reps agreed it can support their role and save significant time on visit preparation. Higher Average Order Volume and reduced Out-of-Stock are the outcomes the platform is built to drive at scale — described as goals, not pilot measurements.
The flagship build The AI Sales Agent — proven with real field reps → 91% answer accuracy · 100% rep endorsement, in a controlled FMCG pilot.