Retail demand forecasting is complex due to the continually changing environment with: differing preferences for products from different demographics, different affordability levels, a changing population, product characteristics (type, efficiency, buying cycles, alternative options), pricing and purchase options (store, online, etc.), and competitive products and strategies. This complexity makes retail forecasting challenging without the right tools.

SimulAIt mass-consumer modeling and forecasting for retail

SimulAIt can assist with retail forecasting, marketing, and strategic planning.

SimulAIt can assist in areas such as:

• Retail demand and revenue forecasting
• Consumer retention and churn
• Pricing
• Targeted marketing and micro-marketing
• Product (strategic) inventory and supply-chain strategy
• Capital and corporate planning
• Store or franchise placement
• Product and service market sizing
• Impact of rebates and concessions

SimulAIt Features for Retail

• Multi-level product framework enables you to define product types and specific products, and their characteristics, such as type, failure or consumption rate
• Product acquisition reasoning framework allows you to configure behavioral rules for product acquisition (e.g. consumer preference, affordability, priority and need for replacement/acquisition, etc.), and the impact of external influences (e.g. prices, marketing), for different types of consumers
• Handles the definition of pricing structures and social influences such as marketing and media
• Assess the impact of incentives or concessions (or removal of)