Source proof for ElasticRun helps small businesses improve supply chain with Databricks

ElasticRun uses Databricks to help small businesses improve their supply chain | Databricks Skip to main content Login Why Databricks Discover For App Develop…

…orting underserved communities with better access to grocery and consumer goods 10,000+ Machine learning models managed 90% Fewer data pipeline slowdowns from large data volumes 33% In cost savings o…

…er access to grocery and consumer goods 10,000+ Machine learning models managed 90% Fewer data pipeline slowdowns from large data volumes 33% In cost savings on more than 20 systems ElasticRun, India’s only B2B e-comm…

…arning models managed 90% Fewer data pipeline slowdowns from large data volumes 33% In cost savings on more than 20 systems ElasticRun, India’s only B2B e-commerce platform, connects brands with millions…

…e slowdowns from large data volumes 33% In cost savings on more than 20 systems ElasticRun, India’s only B2B e-commerce platform, connects brands with millions in rural family-owned businesses. The brand aims to target these hard-to-penetrate markets and drive growth in un…

…e slowdowns from large data volumes 33% In cost savings on more than 20 systems ElasticRun, India’s only B2B e-commerce platform, connects brands with millions in rural family-owned businesses. The brand aims to target these hard-to-penetrate markets and drive growth in un…

…e slowdowns from large data volumes 33% In cost savings on more than 20 systems ElasticRun, India’s only B2B e-commerce platform, connects brands with millions in rural family-owned businesses. The brand aims to target these hard-to-penetrate markets and drive growth in un…

…nfrastructure, ElasticRun Connect, required multiple scale-ups and refactoring. This led to pipeline delays that occurred at least twice a month due to the sheer volume of data, from store profiles to transactions and inventory counts. As ElasticRun’s business grew, the data inundation put additional pressure on t…

…a for improvement was ElasticRun’s supply chain software, ElasticRun Logistics, which required real-time data to help customers make smarter decisions around inventory management, shipment tracking and demand forecasting. The existing data infrastructure exhibited limitations that needed to be unloc…

…ded the ideal solution, with Delta Lake at the core of their suite of products. Delta Lake’s flexible medallion architecture, a data design pattern that organizes data into progressively refined layers — Bronze, Silver and Gold — enabled ElasticRun to process both real-time and historical data while eliminating the pipeline failures that previously hindered operations. Da…

…of worrying about system failures.” To further streamline their data processes, ElasticRun deployed Databricks Spark Declarative Pipelines to automate data transformations across various environments — development, staging and production. This automation removed the need for man…

…ed on optimizing supply chains, personalizing and improving demand forecasting. MLflow, designed to manage the complete machine learning lifecycle, enabled ElasticRun to track experiments, package code, deploy models across environments and share them efficiently across teams to continuously enhance these processes…

…of the Databricks Data + AI Platform transformed ElasticRun’s data operations, resulting in a 90% reduction in pipeline slowdowns and infrastructure incidents. By leveraging Delta Lake alongside Spark Declarative Pipelines and Databricks…

…ElasticRun increased the reliability and availability of their data pipelines. The boost in performance allowed their internal teams to access real-time data without interruption, which directly led to a 25% improvement in their internal net promoter score (NPS). With a stable data infrastructure in place, ElasticRun helped optimize supply c…

…and anomaly detection to remedy operations and improve customer satisfaction. “By consolidating 2,500 reports into 50–60 dashboards, we’ve shifted our focus from troubleshooting to innovation,” Kulkarni said. Looking ahead, ElasticRun is set to expand their use of predic…

…timize supply chains and personalize offers for kirana stores more effectively. MLflow, managing over 10,000 machine learning models, paved the way for more accurate demand forecasting and anomaly detection to remedy operations and improve customer satisfaction. “By consolidating 2,500 reports into 50–60 dashboards, we’ve shifted our focus…

…Industry : Retail and Consumer Goods Use Case : Data Engineering Cloud : Azure Product : Delta Lake , Spark Declarative Pipelines , Agent Bricks Ready to get started? Try Databricks for free Learn more about our product Talk…

…s post Details Industry : Retail and Consumer Goods Use Case : Data Engineering Cloud : Azure Product : Delta Lake , Spark Declarative Pipelines , Agent Bricks Ready to get…

…s post Details Industry : Retail and Consumer Goods Use Case : Data Engineering Cloud : Azure Product : Delta Lake , Spark Declarative Pipelines , Agent Bricks Ready to get…

…er access to grocery and consumer goods 10,000+ Machine learning models managed 90% Fewer data pipeline slowdowns from large data volumes 33% In cost savings on more than 20 systems ElasticRun, India’s only B2B e-comm…

…timize supply chains and personalize offers for kirana stores more effectively. MLflow, managing over 10,000 machine learning models, paved the way for more accurate demand forecasting and anomaly detection to remedy operations and improve customer satisfaction. “By consolidating 2,500 reports into 50–60 dashboards, we’ve shifted our focus…