Artificial intelligence (AI) is emerging as a decisive lever for companies looking to unlock growth in India’s fragmented general trade ecosystem, with the potential to drive 15–20% revenue gains, according to a new study by Boston Consulting Group (BCG). The report positions AI not just as an efficiency tool but as a front-line growth driver reshaping sales planning, execution and retailer engagement.

From route plans to real-time intelligence

At the core of this shift is AI’s ability to combine structured data—such as billing records and loyalty metrics—with unstructured inputs like store images, handwritten notes and sales conversations. This allows companies to generate granular, store-level insights at scale, something that has historically remained a blind spot in general trade.

“What is exciting about AI in distributed sales is its ability to operate at scale — across thousands of salespeople and hundreds of thousands of stores. Every salesperson gets customized recommendations, every sales manager gets a personal analyst, every store gets a customised pitch — all at a fraction of the cost of building these capabilities manually,” said Amit Mittal, Partner and Associate Director at BCG.

BCG identifies ten high-impact use cases across the sales value chain, including AI-driven micro-market identification, intelligent route planning and smartphone-based “sales companions” that guide frontline staff on what to pitch and where.

A key innovation is the emergence of 24/7 AI-powered digital sales agents, capable of capturing orders through voice in local languages, resolving retailer queries and nudging payments—reducing reliance on manual follow-ups.

Early adopters report double-digit gains

Early deployments are already translating into measurable business outcomes. A mid-sized homecare brand recorded over 10% sales uplift within a month of deploying AI-led recommendations, while a multinational consumer goods company saw a 20% increase in customer-facing time through dynamic route optimisation. In another instance, an FMCG player enabled 5–10% of orders to be captured directly via AI voice agents.

“AI allows companies to leapfrog stages of go-to-market maturity altogether. A business still relying on manual route plans and one-size-fits-all pitches can move directly to an AI-enabled model,” said Parul Bajaj, India Leader – Marketing, Sales and Pricing Practice at BCG.

Execution, not technology, will decide outcomes

Despite the promise, the study underscores that value creation will depend on execution discipline. Companies need to prioritise high-impact use cases, build integrated data stacks and redesign workflows, roles and incentives to align with AI-led decision-making.

Bajaj added that for companies looking to transform sales operations, “the window to act is now,” as AI adoption accelerates across industries.