RETAIL
CASE STUDY 1: SUPERMARKET PRICE INDEX
Lead Product role for a supermarket price comparison platform with massive national media attention
CASE STUDY 2: OPTIMIZED STORE LAYOUT
Product management for an optimal store layout solution that resulted in 5% national profit increase
CASE STUDY 3: NATIONAL SALES DASHBOARD
Project management of a national sales dashboard solution leading to overall 800k cost reduction
We have implemented intelligent price index algorithms to calculate the price difference between different supermarket chains based on the average household spending on different product assortment categories.
We have designed software that automatically defines the optimal store layout for supermarket outlets based on various product and customer parameters. This software optimizes the gross profit margin because the assortment better fits the average customer.
Next to an optimal store layout, the best planogram or shelf layout for each product category is selected based on the volume dimensions and the stock level of each SKU in the final assortment of the store. Business logic can be configured with flowcharts.
Halenium has extensive experience of building Business Intelligence and Sales dashboards that contain the essential KPIs for each management role in a complex retail organization. Employees are empowered to give input during workshops.
WHOLESALE
CASE STUDY: SALES REPORTING
Coordinated the development of a new sales reporting program for a major tire distribution partner
Halenium has experience in creating custom solutions that easily interface with production data from ERP systems (SAP). Prototypes are built with Visual Basic and Low-Code solutions.
We have supported our clients with innovative Reporting and Forecasting solutions that transform large volumes of data into actual insights for making better business decisions.
