AI can lift general trade revenue by 15% to 20%, study finds
Artificial intelligence can increase revenue from general trade sales channels by 15% to 20%, according to a Boston Consulting Group study. The gains come from applying AI across sales planning, execution, and operations-combining structured data like billing records with unstructured inputs such as store images and handwritten notes.
The study identifies 10 AI use cases that sales teams can deploy immediately. These include identifying high-potential markets, optimizing sales routes, personalizing product recommendations, and automating back-end processes like billing and order reconciliation.
Early results show measurable gains
Companies testing AI have reported concrete results. A homecare brand recorded a 10% sales uplift within one month of deploying an AI companion tool. A multinational consumer goods company saw a 20% increase in customer-facing time after implementing route optimization and personalized nudges.
One FMCG company deployed an AI voice agent to collect retailer orders in local languages, removing a manual bottleneck.
Five requirements for success
Organizations need to focus on five areas to extract value from AI in sales:
- Define a clear transformation vision tied to business outcomes
- Prioritize high-value use cases and track return on investment
- Build an integrated technology stack that connects sales systems
- Invest in change management to help teams adopt new tools
- Establish governance around data accuracy, privacy, and security
Companies at early stages of digital maturity may skip traditional digitization steps and move directly to AI-enabled models, the study says.
For sales professionals looking to understand how AI applies to their role, AI Learning Path for Sales Representatives covers practical applications in route planning, customer recommendations, and sales execution.
Your membership also unlocks:
