AI Could Boost General Trade Sales Revenue by 15-20%, Report Says
Companies using artificial intelligence in sales operations could increase revenue from general trade channels by 15 to 20 percent, according to a report from Boston Consulting Group.
The gains come from AI systems that handle sales planning, execution, and back-end operations. BCG identified specific use cases: AI-powered sales companions that help staff plan routes and pitch products, plus 24/7 digital sales agents that capture orders and resolve retailer questions without human intervention.
How AI Combines Data to Drive Sales Decisions
AI systems merge structured data-billing records, loyalty information-with unstructured inputs like store photos, handwritten notes, and sales conversation transcripts. This combination generates actionable insights for store-level execution and operational decisions.
Location data and footfall patterns help identify high-potential micro-markets. AI then recommends which outlets to prioritize and what product mix fits each store's profile.
Practical Tools for Sales Staff
A smartphone-based AI assistant helps salespeople plan daily routes and surfaces summaries of past retailer conversations. The system recommends specific pitches for each store visit.
A digital sales agent handles routine tasks around the clock-capturing orders through voice calls in local languages, answering questions, and sending payment reminders. This frees sales staff to focus on higher-value customer interactions.
Automated back-end operations handle billing, scheme settlement, financial reconciliation, and query resolution. This shift lets organizations redirect capacity toward strategic work.
Leapfrogging Traditional Sales Models
Companies still using manual route planning and one-size-fits-all sales pitches can move directly to AI-enabled models without intermediate steps, said Parul Bajaj, India Leader for Marketing, Sales and Pricing Practice at BCG.
AI adoption improves retail coverage, strengthens store-level conversion through targeted conversations, and drives higher-value product sales via personalized recommendations.
For sales professionals, understanding how to work alongside these tools-and how to interpret AI recommendations-is becoming essential. AI for Sales and the AI Learning Path for Sales Representatives offer practical grounding in how these systems function and where human judgment remains critical.
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