Leveraging data to unlock actionable customer insights
OCTAVE is running a roadmap of over 40 strategically significant advanced analytics use cases aimed at solving business problems across the organization.
One such use case was piloted for supply chain optimization at Keells — the supermarket chain within the John Keells Group. One of the biggest challenges that retailers face is anticipating customers’ purchasing needs. Different demographics in each store location mean demand for goods can vary, and deciding how much space to allocate to each category can be tricky.
Traditionally, Keells outlets would allot a common assortment of goods based on the size of the store. The decision of whether to stock a range of products was made based purely on store size — a process that presented a clear opportunity for data to inform and optimize.
Applying the advanced analytics model enabled by Databricks helped Keells to cluster the stores based on features related to customer behavior. The pilot showed material improvement in “dry categories” revenue and a significant reduction in the time taken for the annual category review.
“Databricks is now the primary platform for model development at OCTAVE, and usage is even extending beyond OCTAVE into the business units that are finding it beneficial,” said Yolan Seimon, Vice President, John Keells Group, and Head of Data and Advanced Analytics.
Looking ahead, John Keells will continue to leverage Databricks to enable more use cases through the unification of data engineering, machine learning and data analytics, giving rise to the rapid adoption of advanced analytics designed to improve business operations and the customer experience. “We’re excited about the lakehouse vision that Databricks has set forth,” said Seimon, “and we look forward to continuing to move toward that direction as we democratize data throughout the company.”