Level 1 Sponsor
Rubikloud is the world’s leading data and machine learning (ML) platform for retail. Our full-stack, cloud native platform and two flagship applications automate and improve mass promotional planning and loyalty driven marketing for our multi-billion dollar retailers.
We target mission-critical business problems for enterprise retailers by analyzing large amounts of data from multiple legacy sources as well as new, online and offline systems. This empowers retailers to make tangible actions with powerful results.
Our cloud-native, product-centric approach to development has enabled us to overcome often difficult enterprise deployments of mission-critical solutions. In order to minimize effort and resources for our clients, we have developed tools to speed up and reduce the costs associated with the onboarding of new clients onto our products. These tools significantly reduce the time and resources it takes to ingest and control the quality of client data, configure the product to the specific needs of the client and launch the product for full client use, by almost half.
Price and Promotion Manager applies machine learning to reduce the complexities of the promotion planning process to yield more accurate forecasting and automate decision-making. As the market changes, our solution continuously improves decisions for retailers to increase promotional effectiveness that drives incremental customer engagement. Promotion Manager automates the current mass promotions and merchandising process, which is the most expensive business process in retail, to deliver: a) a clear understanding of promotional effectiveness, b) more accurate forecasts that reduce stock-outs, overstock, and increase revenue, c) optimized promotional planning).
Customer LifeCycle Manager (CLCM) applies machine learning to predict customer intention and behavior through intelligent decision automation. Our solution yields deep understanding of offer and communication effectiveness to deliver the most appropriate 1:1 personalized content, with relevant and timely offers, through the most optimal channel for each customer to maximize customer engagement that delivers growth. CLCM uses AI to automate customer-centric decisions through marketing channels for retailers by focusing on generating incremental revenue.
Delivering on the promise of intelligent decision automation, these two solutions integrate their machine learning powered decisions back into the retailer’s operational systems.
Rubikloud’s big data platform delivers automated instructions to execution layers such as the retailer’s ERP, supply chain system, marketing automation tools, and in-store experiences. Rubikloud currently works with the world’s largest retailers, who have collective revenue of over $100b in annual sales.
Rubikloud partnered with a national grocery retailer to help minimize the amount of product spoilage due to forecast inaccuracy. Discarding expired product was having a negative effect on the retailer’s margin. To solve this problem, Rubikloud’s machine learning forecasting system considered multiple factors, such as cross-product and halo effects, to intelligently adjust the forecast.
By considering cross-product effects, an insight was uncovered that had a direct effect on spoilage. The retailer’s existing system was over-forecasting when a highly cannibalistic product was on promotion – leading to a large amount of expired inventory in future weeks. With this insight applied to Rubikloud’s forecasting, among many others, the retailer’s forecast accuracy improved by +7% for a key traffic-driving category. Extrapolated to full chain, Rubikloud’s overall forecast accuracy improvement would represent approximately $40 Million in margin impact potential.