Point of Sale Data Analysis
Transcript of Point of Sale Data Analysis
OBSERVATION
Consumers are becoming increasingly demanding in terms of instant gratification with the latest, on trend merchandise.
GOAL
The Goal is to meet consumer demand by achieving perfect on shelf availability in order to maximize sales (but without being left with excess stock of what doesn’t sell….!)
PROBLEM
Retailers have a difficult job balancing the need for maintaining relevant, exciting and new product ranges, with appropriate inventory management.
SOLUTION
Data Analytics is part of the solution- Retailers who are able to effectively leverage analytics, get the most out of their business.
BARRIERS
Retailers and wholesalers deal with mountains of data, making it hard to sort through and extract the right insights.
- This results in averaging or ‘smoothing’ of data which can be very inefficient.
DETAIL
The reality is that the devil is in the detail, at the most granular level, - by article, by location
APPROACH
Collaboration between retailers and their vendors is essential to achieve the right balance in sales, stock, and margin at the article and location level.
EFFECTIVE SOLUTIONS
KrunchboxTM is a business intelligence tool that helps cluster the right products in the right stores, by focusing on the exceptions in data.