Manufacturers and distributors operate in a highly fragmented market with diverse outlets and complex purchasing behaviors.
Managing multiple data sources, ensuring execution visibility at the point of sale, and optimizing your sales force and third-party performance have become critical challenges in achieving Route to Market (RTM) efficiency. But the real challenge goes beyond just collecting data—it’s about transforming data into actionable insights. This is even more critical when implementing an omnichannel strategy, balancing online and offline sales while ensuring seamless market execution.
Without a clear data strategy and the right technology, companies risk dealing with disconnected data points, making it nearly impossible to gain a holistic view of their customers and make informed business decisions.
By harnessing Commercial Data Intelligence and AI, companies can move beyond reactive strategies and adopt a data-driven RTM model that ensures precision, efficiency, and sustainable growth in an increasingly complex market. In this recording we will explore:
- How to build a Single Source of Truth (SSOT) to consolidate and structure data for real-time decision-making.
- The impact of Commercial Data Intelligence and Artificial Intelligence in redefining Route to Market strategies and optimizing execution.
- Real-world use cases showcasing how leading Consumer Goods companies leverage data-driven insights to drive market expansion.
By harnessing Commercial Data Intelligence and AI, companies can move beyond reactive strategies and adopt a data-driven RTM model that ensures precision, efficiency, and sustainable growth in an increasingly complex market.
Watch IFMA The Food Away from Home Association and
UVE Solutions to learn how to turn your data into a competitive advantage and unlock new growth opportunities in the fragmented channel.
Webinar Recording: