Most field sales platforms track activity. This one guides it. Built in partnership with a leading CPG tech provider, the AI-driven system doesn’t just monitor performance—it learns from it, flags what matters, and recommends next steps in real time. It’s an early move toward agentic operations: smarter, more autonomous, and built for speed at scale.
A global CPG platform turned to GlobalLogic for a next-gen AI system that moves from reporting to real-time action, unlocking smarter, faster field execution.
Challenge
In the world of CPG distribution, field sales teams face a constant juggling act — hitting daily targets, adapting to shifting store dynamics, and staying aligned with strategy. But too often, the tools meant to support them deliver more noise than insight.
Our client, a global provider of mobile-first field sales platforms, saw an opportunity to go further. They needed a solution that didn’t just collect data but also made sense of it at scale, delivering real-time intelligence to the people on the ground.
Value Created
GlobalLogic designed and delivered an AI-powered platform that acts more like a smart assistant than a traditional dashboard. It monitors performance continuously, flags outliers, and recommends next-best actions based on sales behaviors, store benchmarks, and product mix.
A structured playbook framework drives consistency while allowing the system to adapt to local nuances. Built with a modular, cloud-native architecture, the solution lays the foundation for future agentic expansion, with embedded intelligence that can learn, act, and scale.
Impact
The platform delivered meaningful, measurable gains across multiple dimensions:
- 90 minutes saved per sales rep per day, unlocking more time for strategic selling
- 70% reduction in new rep training time, with embedded coaching and performance insights
- Faster, more confident decision-making using real-time benchmarks and trend detection
- Stronger rep performance through personalized, data-backed recommendations
What began as a sales productivity upgrade is now evolving into a broader model for intelligent, autonomous field operations.
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