CPG companies spend substantially on in-store and trade promotion offers. However, most companies end up running sub-optimal promotion strategies due to challenges in evaluating campaign effectiveness.
TransOrg identifies which promotions provide maximum returns and leverages your historical data to recommend future promotions best for each product, sales channel, geography, and customer segments.
Understand promotion optimization outputs through guided analytics
Classify a business problem into requiring either a supervised or an unsupervised learning approach
Econometric models to analyze weekly demand patterns and fully capture promotional behavior through time
Historical data analysis to understand a specific promotion’s or offer’s ability to drive incremental sales volume
State space models generate a statistical baseline that can include seasonal, cyclical, and trend patterns
Models are multiplicative to control for seasonality and interaction effects when multiple promotions and promotional factors occur simultaneously
Model integration into client’s on-premises or cloud data infrastructure for near real-time processing
Automations in output based on self–learning models
Analyze marketing effectiveness at channel and campaign level to optimize marketing spends
Optimize inventory, logistics and distribution for resilient and efficient operations
Get critical customer insights for personalized marketing, sales strategies and business growth
Get insights on the fly for quick decision making with integrated and interactive dashboards
