Identify localized opportunities based on micro customer segments
Opportunity Gap Identification
WHAT IS CAUSING LOWER AVERAGE SELLING PRICES AND DECLINE IN GROWTH? HIGH STOCK OUTS IN HIGHER PRICE BANDS?
Historical Data Insights on Product Sales Merchandise Insights by Customer Segments
What is Sellingwho is buying
Product Missed Sales opportunities Missed Sales Opportunity by Customer groups
Opportunity Gap IdentificationIdentify localized opportunities based on micro customer segments
Merchandise Insights by Customer Segments
DO SOME LOCALES HAVE HIGH SALES CONTRIBUTION BUT LOW YEAR ON YEAR GROWTH?
Who is buying ?
WHAT IS THE AGE PROFILE OF THE CUSTOMERS WHO PURCHASE GENERAL MERCHANDISE?
WHICH CUSTOMER PROFILES SHOW A HIGHER INCLINATION TO SALES AND GROWTH OF THE CATEGORY?
MISSED SALES OPPORTUNITY BY CUSTOMER GROUPS
Can I identify potential purchase behavior by mapping against regional census data?
Is my regional Sales Price realization in line with the per capita census?
Identify localized opportunities based on micro customer segments
WHAT IS CAUSING LOWER AVERAGE SELLING PRICES AND DECLINE IN GROWTH? HIGH STOCK OUTS IN HIGHER PRICE BANDS?
The retail-specific capabilities of Manthan Retail Analytics and its best practice approach gave us the ability to move much faster than we would have been able to do with more generic solutions.
CFO,Game
Manthan Retail Analytics Analysis to Actionable Insights to Execution
Listed in the 2016 Gartner Hype Cycle for Retail Technologies
Gain a comprehensive understanding of your customers
Achieve a single view of your customer across channels, devices and interactions
Uncover purchase intent and predict customer behaviour with advanced analytical algorithms
Analyze merchandise performance in context of customer profiles.
Pre-built KPIs & analytical views
Purchase behaviour
Product preferences
Price sensitivity
Promotion response
Gain insights on impact of geo-demographic trends to merchandise strategy
Pre-built analytics on data mashups of geo-spatial & census data with your retail business data
Discover potential customers and focus on desired customer segments
Use data science to predict and prescribe merchandising decisions and actions
Pre-built advanced analytical models for customer driven assortment optimization