Futurelab builds commercial insight AI for consumer goods teams: shelf gaps ranked by outlet and pack, distributor and key account views, a sales intelligence dashboard, and InsightEasy for consumer and influencer intelligence, all configured around your KPIs and data.
Commercial insights for CPG and FMCG
AI that brings sales, distributor, shelf and consumer data into one place and answers commercial questions in plain language, so trade marketing, key account and brand teams act this week.
Futurelab Studios: OpenAI Select Partner · Claude Partner Network
Trusted by teams at Coca-Cola · PepsiCo · ITC · Xiaomi · Patanjali
Fragmented enterprise data becomes searchable insight. Pick a question to see the kind of answer a commercial team gets back.
Gaps from shelf photos and stock data are matched to outlets and packs, so the team knows where to act first.
Distributor performance against plan, with the reasons behind the gap and the outlets most affected.
Account-level views of availability, visibility and execution, ready for the next account review.
Creator videos and audience responses summarised into sentiment, common opinions and the themes that keep coming up.
Each is configured around your KPIs, data sources and reporting. Status is shown as it stands today.
Consumer and influencer intelligence: transcripts of selected creator videos analysed, audience sentiment summarised, and content compared by pillar, style and cultural cues.
The field copilot that feeds shelf scores, competitor sightings and retailer feedback into the commercial view.
Plain-language answers from trusted company knowledge, with guardrails.
AI only earns its place in a CPG business if IT, legal and the sales head can all sign off on it. This is how we build so they can.
We deploy inside your cloud tenancy or on infrastructure you control, and use enterprise AI tools with no-training guarantees.
Data, access and hosting constraints are agreed in writing before anything is built.
Agents work within set permissions and limits, and people approve the decisions that matter.
Copilots read from and write back to the systems your teams already use, so there is no second version of the truth.
Commercial AI is worth building when it shortens the time between a problem in the market and someone fixing it.
Outlet, distributor and regional KPIs come together in one place, configured around your definitions.
Availability and execution gaps are surfaced early, so teams spend time on what needs attention.
Comparisons and follow-ups are ready without manual reports, so reviews are about decisions.
One commercial view Commercial reviews should start from the exceptions, not from a week of stitching reports together.
Each connects to the data you already collect and is configured around your company KPIs, data sources and workflows.
See every shelf, not just the ones a manager visits.
Account-level views ready for every review.
One live view for outlet, distributor and regional execution.
Creator content and audience responses as structured consumer signals.
Start where the data is ready and the question matters, then widen.
Work with commercial and brand teams to list the questions they ask every week and the definitions behind them.
You get: A question list and KPI definitions
Bring together the sales, distributor, shelf and consumer data you already collect, with your access rules.
You get: One connected view on your data
One category or region uses it for real reviews while we check answers against the numbers they trust.
You get: Answers your team has checked
Add categories, regions and questions, with owners and reporting in place.
You get: A live commercial view
13+ years in marketing and growth leadership at Google, Paytm, Airtel and Amul.
13+ years across business strategy and technology transformation at Amul, Wipro, PepsiCo and Mondelez.
AI that brings sales, distributor, shelf and consumer data together and answers commercial questions in plain language, so trade marketing, key account and brand teams see gaps early and act on them.
Yes. Shelf photos are read for gaps, share of shelf, planogram, price tags and competitor activity, and gaps are ranked by outlet and pack so teams know where to act first.
Our InsightEasy analyses selected creator videos and audience responses, summarises sentiment and common opinions, and compares content pillars, communication styles and cultural cues. It is configured by creator set, language and taxonomy.
No. We start from the data you already collect and the warehouses and BI tools you already use, such as BigQuery, Snowflake, Power BI or Tableau, with your access rules.
We agree KPI definitions with your team first, and during the pilot answers are checked against the numbers your commercial team already trusts.
Pick one category or region and the questions your reviews ask every week. We connect the data, pilot with one team, then widen.
Tell us the questions your commercial reviews keep asking. We will show you what your data can answer and how fast.