To survive in this rapidly changing era
The key to improving CRM and customer loyalty
POS data analysis and data integration

Sluggish personal consumption due to changing times

Real personal consumption will decline for four consecutive quarters until the January-March quarter of 2024, the first time this has happened since the Lehman shock.

• Source: Nomura Research Institute
  Weak Yen and High Prices Cause Unprecedented Weakness in Personal Consumption (January-March GDP): The Harmful Effects of a Weaker Yen

There are also cases where sales increased by 26% through POS data analysis

Good Day is a home improvement store chain with operations mainly in Fukuoka Prefecture. President Takashi Yanase wanted to know the numbers in real time to make management decisions, so he implemented data analysis and achieved a 26% increase in sales over a five-year period.

• Source: J-Net21
  Data analysis management of a local home improvement store that instantly understands everything [Good Day Co., Ltd. (Hakata Ward, Fukuoka City)]

Examples of how POS data analysis results can be used

① Development of new products with high demand
Combining customer attributes and purchase data to discover the needs of each customer segment

② Maximizing profits through dynamic pricing
Analyzing customer trends by time of day and day of the week, and setting optimal product prices for each occasion to reduce waste

3) Promote competition by disclosing the results of analysis of each store's data
Each store will implement new initiatives and improvements based on data from other stores, improving their competitiveness.