Artificial intelligence is emerging as a major growth driver for general trade sales channels, with a new Boston Consulting Group (BCG) study suggesting that companies can increase revenue by 15% to 20% through AI-led transformation. The report highlights that AI is no longer just an efficiency tool but is becoming central to sales planning, store execution, and retailer engagement across fragmented trade networks.
A key strength of AI in this space is its ability to combine structured data—such as billing records, loyalty metrics, and sales history—with unstructured inputs like store images, handwritten notes, and sales conversations. This allows businesses to generate store-level insights at scale, identify high-potential micro-markets, optimize product mix decisions, and assist sales teams with smarter route planning and personalized outlet recommendations.
The study also cites early real-world success stories. A mid-sized homecare brand reportedly saw more than 10% sales uplift within one month of deploying an AI sales companion, while a multinational consumer goods company achieved a 20% increase in customer-facing time through route optimization and AI-powered nudges. Another FMCG company improved retailer order collection using an AI voice agent in local languages, showing how AI can directly strengthen field sales productivity.
However, the report emphasizes that results depend on execution rather than technology alone. Companies need a clear transformation vision, high-impact use case prioritization, an integrated data stack, strong change management, and governance around accuracy, privacy, and security. The broader message is that AI has the potential to significantly reshape India’s general trade ecosystem by improving retail coverage, sales productivity, and revenue growth.
