The Enterra Category Management Intelligence SystemTM provides you better category information that will lead to better demand forecasts and make all aspects of your supply chain more efficient.
Detailed Post-event
analysis of company promotions
Pre-event analysis
Assessment of shopper marketing efforts (e.g., couponing, non-traditional display, etc.)
Competitor rhythm analysis & forecast of future competitor promotions
Detailed Post-event high-dimensional attribution analysis for both the company’s and competitor’s promotions
Syndicated Data ...
to know the marketplace
Company Data ...
to know planned promotions & costs
Product Data ...
to know features & attributes of own/ competitor product
Calculating an estimate of cannibalization (sales taken from other similar products) and Out-of-Stock effects
Providing deeper and automated insights and has more flexibility on assumptions for optimization
An ability to gain better insights on key competitors
Estimates of the value of:
Insights such as demographics or other store differences that affect the planogram
Calculates optimal allocation of planogram facings to minimize on-shelf availability issues
Planogram Data
Sales Data
Product Attributes Data
Store Characteristics Demographic Data
Using superior higher-dimensional math to analyze far more variables than have previously been used in such models
Looking at planogram decisions not investigated by other systems
Disentangling complex OSA execution vs. OOS issues
Estimating degree of OSA due to planogram planning issues vs. OSA execution or being OOS
Optimally allocates planogram facings to items to minimize planogram-related OSA issues
Find OSA/OOS systematic issues due to retailers, items, or item sets
Detailed Post-event high-dimensional attribution analysis for both the company’s and the competitor’s product
Planogram Data
Sales Data
Product Attributes Data
Store Characteristics Demographic Data
Examining the effects of planogram decisions on On-shelf Availability
Calculating OSA/OOS using probabilistic models instead of relying on directly observable OSA/OOS data
Performing many unique analyses
One-time migration analysis which can be useful for understanding the impact of a significant change in merchandising or new product release (compares before vs. after period)
Continual migration analysis treats migration as a continual process during which consumers migrate in and out of the category
Analysis resulting in non-obvious natural language insights with pertinent visualizations
Migration Analysis answers the question of how consumers are shifting their buying patterns within and outside a category in terms of the impact on complementary and substitute products
Basket-level Loyalty Transaction Data
Customer Segment & Demographic Info
Store Attribute & Demographic Data
Automating the analyst’s function, reducing both time (hours vs. months) and costs
Using superior higher-dimensional math to analyze far more variables than possible in current analytic models
Leveraging unique analyses, including process-based continuous migration analysis
The Enterra Enterprise Cognitive SystemTM — Aila® — enables rapid, automated, cost-effective analysis that can be run at the retailer for day-part, trip-type, and day of week, week of month, month of year, seasonal and other external effects