How a major retail player implemented a more efficient more efficient, more profitable and more cross-functional
Spotlight on a Data and Cloud project for a major sports and leisure retailer whose mission is to improve the sporting experience.
Context
One of the major challenges facing retailers is the accelerating pace of digitalization. With the rise of online shopping, they have to adapt in a highly competitive environment.
The democratization of multi-pricing at different points of sale is another challenge. Retailers need to juggle this complexity to stay competitive.
Finally, the increase in competition is undeniable. Not only do retailers have to compete with other traditional businesses, they also have to face up to the rise of online pure players and e-commerce giants. To remain competitive, they need to differentiate themselves through unique offers, outstanding services and excellent customer relationship management.
Boutique managers were experiencing difficulties in harmonizing pricings and understanding choices. Micropole supported them by integrating an expert to act as a link between the technical and sales teams.
Challenges
- Development of a leading digital platform for athletes
- Data accessibility to facilitate decision-making
- Harmonizing and simplifying store pricing choices
- Improving competitive performance
Method
Framing the project
- Close collaboration between technical and business teams
- Defining rules with business teams
- Understanding the challenges faced by managers of different sales outlets (competition, inventory management, promotions around the same product family, etc.).
Data mining
- Field investigation, point-of-sale data validation (high data quality and reliability)
- Human-centric thinking
- Work on exploiting data with the help of data engineers
- Deployment of dashboards
Harnessing the power of the AWS cloud
- A data lake deployed on AWS S3
- Use of the latest Spark technologies for advanced analysis and data mining
Recommendations for technical solutions to improve decision-making by store managers
- Upgrade existing systems to improve product and order consistency
- Development of an alerting tool to ensure continuity with the national strategy
- Creation of a decision-making tool
- Deployment of a best practice recommendation tool
Benefits
The effectiveness of our sales strategy has been enhanced by a reduction in local price fluctuations.
The impact on data quality was equally significant, with a 30% improvement in data accuracy and reliability. This has considerably boosted teams' confidence in analyzing the information crucial to business decision-making.
Finally, data analysis has gained in power thanks to performance optimization, enabling information to be obtained more quickly and in greater detail.
The next exciting step on the journey is the creation of an artificial intelligence tool that will fully exploit these benefits to reach new heights of efficiency and innovation.