FMCG · Route to market
2× sales productivity
The front line, told where to go and what to leave behind
Route optimisation and per-SKU, per-outlet replenishment targets, generated nightly from each client's own stock-forecast data.
AI · Data · Operations Built by people who have run the operation
Business impact first. Technology makes it scale.
Kendall Tech Labs is an operating partner for companies that move goods and money at scale. We start with the number you are accountable for — cash locked in inventory and receivables, demand you cannot see far enough ahead, margin lost between the order and the invoice — fix it in the operating model, then put data, models and automation behind it so the gain holds as volume grows.
How we work
Impact is defined before anything gets built
One method, whether it is a four-week diagnostic or a two-year build. Most of the value is decided in step one — the step most programmes skip.
01
Define the impact
Board goal down to the binding constraint. We instrument it before we touch it.
02
Solve in order
People, then the logic and models, then the system that carries them.
03
Prove it live
One territory, one channel — held against a control until it beats today.
04
Scale it
Integration, controls and model monitoring, so the gain survives volume and peak.
05
Compound it
Each cycle adds data and the system sharpens. We stay in the loop.
Where we usually apply it
Route-to-market execution
Demand signals into routing and daily per-outlet, per-SKU targets for the front line.
Demand, inventory & imports
Forecasting models by SKU, channel and lead time driving reorder and safety stock.
Pricing & margin systems
Price intelligence, elasticity-aware channel architecture, quoting engines that answer in seconds.
Order-to-cash & settlement
Order to cash in one instrumented flow — extraction, reconciliation, ERP and bank rails.
Impacts we delivered
Numbers that moved
Each of these started as somebody's stuck number. All were built from inside the business, by the people accountable for the outcome — not advised on from outside. The detail behind any of them is a conversation.
FMCG · Wholesale pricing
Cost-plus → market
A wholesale channel moved off cost-plus pricing
A price-intelligence layer, SKU by SKU and area by area, replacing a fixed-margin habit with market-referenced pricing.
Field services · Billing
60 days → 1 day
Field work turned into an invoice the same day
Two months of manual handoffs between operations and finance collapsed into an automated field-to-invoice pipeline, releasing the working capital sitting in unbilled work.
FMCG wholesale · Settlement
4 days → next morning
Cash collected in the trade, in the supplier's account by morning
One integrated engine across collection, clearing and supplier payout — closing a four-day gap in the cash cycle to a single overnight run.
Industrial manufacturing · Quoting
Weeks → seconds
Custom-engineered products, priced instantly
Configuration rules and pricing logic encoded into an engine that answers while the customer is still on the call.
More where this came from
The interesting part is always what sat underneath
Every one of these has a longer story — the constraint we actually found, what we tried first, and what finally moved the number.
Ask us howOur principles
Built by operators, run on evidence
We work with companies that move goods and money at scale. The method is the same every time: find the number that matters, instrument it, fix it where the work actually happens, then let the data compound.
- Operator-led. We have run operations ourselves, not only advised on them.
- Hands on the work. We design the fix and then build it — models, pipelines and interfaces shaped to your specific constraint, not an off-the-shelf platform that needs a year of implementation. If we cannot build it, we do not recommend it.
- Evidence over opinion. Every claim gets a baseline, a control and a number. If it does not beat the way you work today, we say so.
- Start small. Fixed-scope diagnostics, so the first commitment is a cheap one.
- We say no. When the data does not support the project, we tell you.
Our view
Most transformation programmes fail because they start with the technology and go looking for a problem to point it at. We start with the number you are judged on, fix it where the work actually happens, and only then build the system that makes the fix permanent.
Kendall Tech Labs
Operating principle