Multinational seeds manufacturer
In-depth transaction analytics to identify price leakages
Project Scope & Objective
- Identify price “leakages” based across different regions/customers/products
- Data base complexity and cleansing
- Various information sources withing the organization (discounts and rebates were managed via excel in separate data base from costing data)
- Team was unclear how big-data/ analytics techniques should be used
Project Summary
- Collected data from various data sources. Created transactional data of all commercial elements. Conduct in-depth transaction analytics
- Defined opportunities to improve pricing. Quantified opportunities
- Created a Power BI tool which will repeat analytics in future + handbook. Train analyst of the customer
Achievement
- Identify opportunities to improve pricing > 3m€
- Define type of analytics to support management and commercial team in future
- Knowledge transfer to the client and the analysts team