Point of Sale Data Analysis

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POI NT O F SALE D ATA A NALYS IS

Transcript of Point of Sale Data Analysis

P O I NT O

F SA L E D

A T A AN A LY S I S

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.

RESULTS

Using data smarter, means the customer can find the product they want in store.

The retailer drives increased sales on reduced stock

…and the supplier enjoys increased sales with a more effective supply chain.