Brij

Your data, your insights—no third-party ownership or black-box analytics. Kubit is the leading Customer Journey Analytics platform for enterprises, enabling self-service insights, rapid decisions, and full transparency—without engineering dependencies or vendor lock-in. Unlike traditional tools, Kubit eliminates data silos, letting teams analyze customer behavior directly from Snowflake, BigQuery, or Databricks—no ETL or forced extraction needed. With built-in funnel, path, retention, and cohort analysis, Kubit empowers product teams with fast, exploratory analytics to detect anomalies, surface trends, and drive engagement—without compromise. Enterprises like Paramount, TelevisaUnivision, and Miro trust Kubit for its agility, reliability, and customer-first approach. Learn more at kubit.ai.

Automation of menial stock monitoring tasks liberates floor staff to focus on serving customers towards increased average basket sizes. Minimizing stock gaps on shelves improves consumer propensity to purchase. Shelfie cameras can be mounted on top of any standard retail shelf. The cameras take images of retail shelves, and these images are then collected and transferred to the cloud. A cloud-based advanced machine learning and image processing algorithm is used to analyze the shelf images. Once an event is detected the data is sent to the dashboard and mobile app. Detected events are updated automatically to mobile devices informing floor staff to re-stock specific items. A cloud-based advanced machine learning and image processing algorithm is used to analyze the shelf images. Once an event is detected the data is sent to the dashboard and mobile app. Detected events are updated automatically to mobile devices informing floor staff to re-stock specific items.