Intelligent dashboard
A single pane of glass for customer and performance data — no more hopping between tools.
Our flagship agentic build. The AI Sales Agent gives every rep precise, plain-language answers from your own data at the moment of visit prep: which outlets to prioritise, which SKUs to push, where stock is about to run out.
Less prep. More visits.
✓ Built and proven by Relay360 · a controlled pilot with real field reps
The pilot earned its scale: 10 reps, then 50, then 100, then 200. Inception to delivery in 2-3 months — change management included.
The last mile of FMCG sales — the rep standing in the outlet — is where brand growth is won or lost.
But most reps spend it juggling spreadsheets and dashboards instead of selling — which means SKUs left unranged, promotions left unactivated, and a competitor who got there first.
Information sits in silos. By the time an insight becomes an action, the opportunity has passed. And the complexity only grows as you scale into new territories and categories.
Not a generic chatbot — a purpose-built sales companion that sits inside your reps' visit-prep routine.
A single pane of glass for customer and performance data — no more hopping between tools.
Ask "which SKUs are underperforming at this outlet versus last month?" in plain English and get a clear, trustworthy answer in seconds — no spreadsheets, no analyst required.
Like a sharp analyst working in the background — continuously reading your data to flag the outlets about to run out of stock and surface the next best move, before a rep even asks.
Every use case anchored to a measurable KPI — revenue, volume, margin — ranked by business value, point of execution and data confidence.
Agents designed against your stack and workflows for rapid deployment — not a rip-and-replace project.
An intelligent layer inside the rep's day, not another app to log into.
Advocacy Loops turn high-performing reps into champions who drive organic, global adoption.
We put the Sales Agent into reps' genuine visit-prep routine — not a lab. These are the only figures we cite, and they come straight from that pilot.
We separate proof from projection. What the pilot measured: answer accuracy and rep adoption. What the platform is engineered to drive at scale: higher Average Order Volume and lower Out-of-Stock.
We'll put the Sales Agent in front of your reps and measure the accuracy and time saved — for yourself, on a real set of your outlets.
Your data, your assumption. We prove the real number on one territory.
Today your reps lose
3,467 hours a year to visit prep — worth €124,800
Optimise that prep time and it becomes
+4,160
more customer visits a year
Freed prep time your reps spend with customers — about 30 minutes a visit.
Based on your estimations.
Show me the real number →Where you want field execution to move the number — growth, margin or efficiency.
One territory, your data, the highest-confidence use case first. From first conversation to live in the field: 2-3 months, change management included.
Accuracy and time saved, measured with your reps — then we plan the rollout.
30 minutes with a senior practitioner — a candid read on your case, not a sales pitch.
An agentic AI assistant for FMCG field sales. It reads your commercial data continuously and puts the next best action — which account, which offer, which moment — in every rep's hands inside the tools they already use. It is built on your data and workflows, not licensed as a generic platform.
In a controlled FMCG field pilot with real reps it reached 91% answer accuracy and 100% rep endorsement. The pilot earned its scale — 10 reps first, then 50, then 100, then 200 — and ran 2-3 months from inception to delivery, change management included. Higher average order volume is the outcome the system is engineered to drive at scale — set as a target against your baseline, not claimed from the pilot. We publish exactly what was measured and nothing more.
SFA platforms give every customer the same features and leave the value capture to you. The AI Sales Agent is a bespoke build: designed against your data, your trade structure and your reps' workflow, deployed end to end and operated in production by the team that built it. You own the moat instead of renting the tooling.
Access to the commercial data the agent will reason over, a sponsor who owns the revenue number, and a handful of field reps for the controlled pilot. We start with a diagnostic, set the baseline to beat, and call an honest go / no-go before anything scales.
No — it arms them. The agent encodes your best rep's judgment and offers it to every rep at the moment of decision. In the pilot, every single rep endorsed it; adoption is engineered into the deployment, not hoped for.
✓ 30-minute intro · senior practitioner, not a sales rep
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