Big data analytics can unlock significant potential for retailers to increase operating margins by more than 60% according to a McKinsey report. The document discusses how big data analytics can be applied across customer experience, marketing, merchandizing, and supply chain functions to enhance customer sentiment analysis, optimize product placement and layouts, improve promotional strategies, enable personalized offers, and optimize inventory and warehouse operations. Contact information is provided to discuss business analytics solutions.

1. USE OF BIG DATA ANALYTICS IN RETAIL
Unlock Big Data To Increase Operating Margins More Than 60%
Vaisak Chandran
+65 93211471

2. ANALYTICS
SUPPLY CHAIN
MARKETING
MERCHANDIZING
CUSTOMER
Vaisak Chandran
+65 93211471

3. Customer
Marketing
Merchandizing
Supply Chain
• Customer Experience Enhancement (across all the channels such as
calls, emails, campaigns, catalogs, mobile offers.)
• Customer Sentiment Analysis.
• Call center Analysis.
• In Building Loyalty Program .
• Staff Optimization.
• Optimizing product placement and Layouts based on Heat map/Video data.
• Market level promotional Markdowns.
• Store Analysis .
• Price Optimization.
• Cross Selling,Up Selling and Customer Segmentation.
• Campaign Analytics to determine the ROI.
• Personalized Offers to the Customers.
• Instant Coupon based on the buying pattern of the Customers.
• Social Media Analytics.
• Vendor Performance Analysis.
• Inventory Optimization
• Warehouse Space Optimization

4. McKinsey report says
60 % potential increase in retailers’ operating
margins possible with big data.
60%
For Business Analytics Solution
Contact: Vaisak Chandran
+65 93211471