AI-driven business growth for activating Customers & Retailers
Anticipate shifting consumer behaviours with CPG analytics to optimize inventory, refine marketing strategies, and enhance product offerings
Oversee supply shortages by analysing regular sales and inventory levels. Ensure continuous monitoring of demand forecasts with real-time visibility
Data based profiling of customers based on Sales Data, primary and secondary Market Research data, Retail Media Network data, Connected TV platforms, primary cookie information to build highly personalized shopping experiences for customers online and in stores
Polestar's pricing analytics offerings help teams track Price elasticity across all SKUs, measure pricing efficiency and use analytics to predict optimum prices across all channels to maximize revenues
Keep a track of trade spend, precision design and delivery. Enhance trade promotion effectiveness, and preserve brand equity, sales growth, and channel partnerships
Strategies actionable insights for store performance, merchandise planning, and and addressing out-of-stock situations, ensuring seamless customer experience
visibility into BTL and ATL activities, reporting, financials, trade investments, and A&P spending
From the significance of pricing analytics to crafting effective pricing strategy & mastering pricing with CPG analytics techniques, don't miss out on this enlightening resource!
Sales Key Performance Indicators for in CPG data analytics industry encompass account efficiency distribution, efficiency factory outlet, store efficiency, sales growth metrics, trade promotion & customer retention rates Marketing Key Performance Indicators are brand equity, brand performance, distribution performance, media performance & household Performance
In the Consumer Packaged Goods (CPG) sector, the optimization of Product Development involves leveraging data for customer sentiment analysis & product lifecycle management, ensuring innovation aligns with market trends. Enhanced Procurement Analytics focuses on efficient Source-to-pay (STP) optimization, utilizing strategy compliance and savings tracking. Sales and operations management are refined through accurate demand forecasting, optimizing distribution channels and SKUs planning, and enhancing operational efficiency, while strategic marketing spends are allocated judiciously based on data-driven insights. The comprehensive Customer 360° view integrates purchasing patterns, preferences, and feedback, facilitating the optimization of trade promotions and refining the marketing mix model.
Businesses can employ optimization algorithms to find the equilibrium between competitive pricing and profitability. These algorithms consider cost structures, competitor pricing data, and market demand elasticity, ensuring businesses make data-driven decisions to achieve a competitive yet profitable pricing strategy. Models such as Cost-Plus Pricing or Value-Based Pricing are often adopted to strike the right balance.
