Decision management Analytics | Category Management Intelligence System (CMIS)

Knowledge Is Power

The Enterra Category Management Intelligence System^TM provides you better category information that will lead to better demand forecasts and make all aspects of your supply chain more efficient.

Enterra’s Trade Promotion Insights & Optimization

Detailed Post-event
analysis of company promotions

Pre-event analysis

Insights on planned promotion
What-if scenario analysis
Optimization of future promotional schedules

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

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This module distinguishes itself by:

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

Enterra's Planogram Insights and Optimization

Estimates of the value of:

Key product brand adjacencies
Major/minor category leads
New product high/medium/low shelf placement

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

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Module Distinguishes Itself by:

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

Enterra's On-Shelf Availability and Out-of-Stock Analysis

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

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Module Distinguishes Itself by:

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

Enterra's Consumer Migration Analysis

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

Back to CMIS

This module distinguishes itself by:

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 System^TM — Aila^TM — 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