Technology Blog

AI Use Cases in CPG should be judged against the sector’s stubborn economic and execution problems, not against the novelty of a model demonstration. Branded manufacturers face volatile demand, expanding assortments, rising trade spend, retailer pressure, commodity swings, packaging disruptions, and slow innovation cycles at the same time. Each issue crosses functional boundaries. A forecasting problem affects production and deployment; a promotion decision affects inventory and margin; a packaging delay can erase the value of an otherwise strong launch. Effective AI therefore needs to improve a complete decision, including who acts, what constraints apply, and how the result is measured. A problem-solution view of AI Use Cases in CPG prevents teams from buying technology before defining the commercial or supply outcome. The same problem can often be attacked through several approaches: prediction, optimization, simulation, computer vision, natural-language analysis, or governed agent...

In the beverage industry, where trade promotions can consume 15-25% of gross revenue and make the difference between profitable growth and margin erosion, a systematic approach to planning and execution isn't optional—it's survival. Too many category managers approach promotional planning with outdated playbooks, gut instinct, and insufficient data, resulting in trade spend that generates retail activity without driving sustainable business results. This comprehensive checklist provides a structured framework for beverage companies to transform their promotional strategy from cost obligation to profit driver. Implementing effective Trade Promotion Optimization requires addressing multiple dimensions simultaneously—strategic planning, analytical rigor, operational execution, and continuous improvement. Each element in this checklist serves a specific purpose in building a promotional capability that delivers measurable returns and competitive advantage. Whether you're manag...