Futurelab helps consumer goods companies use AI in sales execution, commercial reviews and consumer understanding. Forward AI Deployment covers strategy, tools and agents, adoption and company knowledge, with SalesEasy, InsightEasy, ChatEasy and LearnEasy configured around your brand and systems.
AI for CPG and FMCG
We help consumer goods teams use AI in sales execution, commercial reviews and consumer understanding. We train the people, build the copilots and dashboards, connect them to the systems you run, and stay until they are part of the working week.
Futurelab Studios: OpenAI Select Partner · Claude Partner Network
Trusted by teams at Coca-Cola · PepsiCo · ITC · Xiaomi · Patanjali
Most CPG teams already have access to capable AI. What is missing is the work around it. We cover all four layers, so a pilot turns into a habit.
We map where AI can help across sales, marketing, supply and finance, then rank each idea by value and feasibility so you start where it counts.
Sales copilots, commercial dashboards and agents that work with your data and your tools, configured around your KPIs and brand.
Role-based programmes for leaders, managers and frontline teams, built on their own work so the habits stick after the session.
Playbooks, scheme notes, past reviews and market learnings become a second brain your teams can search and build on.
Three places where CPG teams see value first. Each has its own page with what we build and how it runs.
A copilot in every rep’s pocket and one live view of outlets, distributors and regions for every manager.
Availability, distributor and modern trade questions answered from your data, and consumer signals from what creators and audiences say.
Role-based programmes for leaders and functions, so the tools are used every day, not only in the pilot.
Each one is live today and is set up around your brand, knowledge, KPIs and systems rather than built from scratch.
A white-labelled sales copilot for field training, merchandising support and market intelligence, with voice input in eight Indian languages.
Consumer and influencer intelligence: creator videos and audience responses turned into structured consumer signals.
An enterprise assistant that answers from trusted company knowledge, with guardrails.
Personalised learning, content and assessments for workforce upskilling.
Commercial and functional teams needed to understand AI and apply it to recurring work, not only experiment with tools.
Role-based AI essentials, live exercises and practical workflows for research, analysis and decision support.
Participants described the programme as practical, and said complex ideas were turned into workflows they could use.
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.
AI is worth deploying in a CPG business when it changes what happens in the market this week, not what appears in next quarter’s deck.
Reps get company knowledge at the point of work, and managers see execution gaps while there is still time to fix them.
Outlet, distributor and regional numbers sit in one view, so reviews start from the exceptions instead of a week of manual reports.
Market feedback, creator content and audience responses become signals that brand and sales teams can act on.
The capability overhang AI can already do far more than most CPG teams use it for. The gap is not the model. It is the workflows, tools and habits around it.
Each option stands alone or becomes the first stage of a longer programme.
Senior-team alignment on where AI matters most for the business.
Role-based programmes for priority functions and their managers.
Training, workflow redesign, custom tools and governance, with ongoing adoption support.
We rank every idea by value and feasibility, then move the best ones forward in order.
Workshops with sales, marketing and commercial teams surface the ideas. Each is scored on value and on how ready the data and teams are.
You get: A ranked list of use cases
The use case with the highest value and feasibility is built on your data and put in front of the people who will use it.
You get: A working pilot with a baseline
While the pilot runs, the next use cases get their data, owners and teams ready.
You get: A clear queue with owners
What works rolls out region by region, with training, access rules and support.
You get: Live tools with owners and reporting
A practical programme that made AI tools and workflows easier to apply.
Vikram Varde, Senior Director
Team Futurelab conducted our first AI Essentials workshop for the ITC North Sales team, and it was a highly impactful start to our AI journey. The team simplified AI concepts effectively, making them practical and relevant for our managers.
Mrinal Pallial, Senior HR Manager
Futurelab has been a valuable partner in enabling our teams at PepsiCo to better understand and adopt AI in their work. We appreciate their continued partnership in supporting our teams on this journey
Akshita Summan, Lead, Talent Strategy
The conversations were clear-eyed, practical, and inspiring. Exactly what India's agri and food industry needs right now.
Sanjeev Asthana, CEO
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.
We help consumer goods teams use AI in sales execution, commercial reviews and consumer understanding. That covers finding the right use cases, building copilots and dashboards on your data, training the teams who use them, and governing them once they are live. We call this Forward AI Deployment.
With three use cases, not thirty. We rank ideas by value and feasibility, pilot the strongest one on your data, prepare the next two while it runs, and scale only what works.
Teams at Coca-Cola, PepsiCo, ITC, Xiaomi, Patanjali and Syngenta, among more than 70 organisations across India, Africa, the UAE and South East Asia. Our founders also come from Indian FMCG, including Amul, PepsiCo and Mondelez.
Both. Our live tools include SalesEasy (a sales copilot), InsightEasy (consumer and influencer intelligence), ChatEasy (an enterprise assistant) and LearnEasy (learning and upskilling). Each is configured around your brand, data and systems, and training makes sure teams use them.
ERPs such as SAP, Oracle, Microsoft Dynamics and Tally; CRMs such as Salesforce, HubSpot and Zoho; your DMS and POS; data warehouses and BI tools such as BigQuery, Snowflake, Power BI and Tableau; and the WhatsApp Business Platform.
Inside your cloud tenancy or on infrastructure you control, using enterprise AI tools with no-training guarantees. Data, access and hosting constraints are agreed in writing before we build.
Tell us how you sell and where the friction is. We will come back with the three use cases we would pilot first, and why.