A framework and approach designed to help the retail business increase ROI, these reports and models cover customer, store, catchment area, product etc. Different questions that we answer with our retail analytics solutions include:

• How do I identify gaps and improve store performance?
• How do I assess the potential of the catchment area?
• Which products are doing well, what combinations are being bought?
• When do my customers visit me?
• What is the impact of price on sales? How do I price for margin maximization?
• What promotions are working? How do I tweak them for maximum impact?
• Is there aberrant behavior amongst my customers that I should watch out for?

Store scoring
Catchment area analytics
Product analytics
Day part
Pricing analytics
Promotion analytics

Store scoring:
The store scoring models we develop give the retailer a complete picture of store performance. Based on both transaction and survey data, the scoring models combine elements of customer satisfaction, profile, purchase patterns, loyalty, and sales to score stores.

Catchment area analytics:
Survey and transaction analytics to create a catchment area profile, scoring models for geographies, and analysis of potential of the catchment.

Product analytics:
Analysis of brands, categories, and SKUs including market basket analysis, analysis of contributions, trends and forecasts.

Day part:
Time of day, day of week, day of month analysis to identify patterns and track movements based on marketing initiatives.

Pricing analytics:
Models to assess impact of pricing decisions on sales as well as margin optimization models.

Promotion analytics:
Models to assess the effectiveness of different promotions, the impact on sales, ROI metrics for promotions.