AI and process transformation for FMCG.

Retailer pressure on price, rising costs and promotions that are hard to measure. We find where value is lost across process, people and technology, then govern delivery until the results show, vendor- and tool-agnostic.

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Two decades leading finance and transformation inside global FMCG and consumer goods companies, including the Fortune 500.

The pressures we see.

Retailers set the terms.
Price, range and promotion decisions get squeezed between major retailers and rising costs.
Trade spend is hard to read.
Promotions take a big share of revenue, and few teams can show which ones paid back.
Forecasts miss.
Plans built on history and judgement leave too much of one product and not enough of another.

Where value is lost in FMCG.

Five places we usually find it, from the retailer to the ledger.

Demand planning

Forecasts that combine orders, promotions and seasonality, so supply follows what shoppers actually buy.

Trade promotion and revenue management

Every promotion measured against its baseline, so next year’s trade plan rests on what paid back.

Order to cash and deductions

Retailer deductions and disputes matched and resolved by exception, so cash arrives on time.

Inventory and supply planning

Stock targets by product and channel, set on demand signals rather than habit.

Customer and product margin

True margin by retailer and product, after trade spend, refreshed every month.

Recent work.

A major Australian fresh produce group

From gut-feel forecasting to a board-ready AI investment case.

Challenge: Revenue forecasts ran on spreadsheets and judgement, just as an ERP transition began.
What we did: Mapped forecasting and data end to end, compared build and buy options, and sized the revenue upside.
Outcome: A phased go/no-go roadmap with cost, effort and risk, sequenced to the ERP program.

$1m

in cost and productivity initiatives identified

A Fortune 500 food and beverage company, in-house

Finding the waste in order to cash, in one week.

Challenge: Order to cash ran across several systems and teams, and nobody could see where orders actually stalled.
What we did: Ran AI-powered process mining on system event data to map the real path of every order, end to end.
Outcome: Every source of waste located and ranked, so the fixes could start on evidence rather than opinion.

30%

process waste identified within one week

How we work with FMCG companies.

Practitioner-led and vendor-neutral. We take no commissions and resell no software.

Advisory sprints

A costed roadmap for demand, trade spend and finance, with a go/no-go your board can back.

Discuss a sprint

Fractional AI and transformation lead

Part-time AI leadership across sales, supply chain and finance, accountable for results.

Discuss a fractional role

AI and process delivery

Hands-on fixes in reporting, deductions and month-end, for leaner commercial teams.

Explore delivery

Keynotes and training

Sessions that help sales, marketing and finance leaders agree where to start with AI.

Book Tariq

Also see delivery, about and all industries.

Start with one conversation.

Tell us where you think the waste is. We’ll tell you plainly whether we can help, and what it would take.