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Title
Improving the speed and competitiveness of pricing to win more
…emo Login Contact Us Try Databricks Customer Stories / Steelcase CUSTOMER STORY Improving the speed and competitiveness of pricing to win more 1.5K+ Sales hours unlocked to identify more opportunities 50% Increase in auto-…
Description
Steelcase built an AI-powered pricing engine on the Databricks Data + AI Platform, using a feature store of 70+ predictive features and random forest models served in real time to automate discount recommendations across 70,000+ annual pricing scenarios, boosting auto-approvals from 35% to nearly 50% and freeing over 1,500 sales hours annually.
…the scale of our data.” Intelligent pricing starts with a unified data platform The Steelcase data science team designed and deployed an AI-powered pricing engine built end to end on the Databricks Data + AI Platform on Azure. This comprehensive solution unified massive data volumes from critical sources,…
Company
Steelcase
…rity and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Customer Stories / Steelcase CUSTOMER STORY Improving the speed and competitiveness of pricing to win more 1…
Industry
Retail
…iness models and competitive advantages for Steelcase.” Share this post Details Industry : Retail and Consumer Goods Use Case : Analytics and Business Intelligence , Artificial Intelligence Cloud…
Problem
Steelcase relied on a manual, legacy pricing approval process: sales teams spent about 20 minutes on average per pricing submission across over 70,000 pricing scenarios annually, with intricate discount configurations and multiple stakeholder types, and prior automation attempts using predefined authorization thresholds concentrated activity around administrative checkpoints instead of strategic pricing decisions.
…ess characterized by time-consuming workflows and inconsistent decision-making. Sales teams spent about 20 minutes on average per pricing submission, grappling with a pricing ecosystem involving tens of thousands of project-customer-product combinations each year, intricate discount configurations and multiple stakeholder types, including dealers, architects and corporate real estate firms. The complexity…
…identify price-sensitive opportunities or adjust pricing tactics in real time. Prior attempts at automation relied on predefined authorization thresholds, which resulted in concentrated pricing activity around administrative checkpoints instead of strategic pricing decisions. From a technology standpoint, Steelcase faced challenges related to seamlessly…
Solution
Steelcase's data science team built an AI-powered pricing engine on the Databricks Data + AI Platform on Azure, using Azure Data Factory and Delta Lake with a medallion architecture, a Databricks feature store caching 70+ predictive features, Databricks Notebooks and MLflow for collaborative model development, and random forest models served via serverless real-time inference into its internal Pricing and Contracts Management application, governed by Unity Catalog.
…pricing engine built end to end on the Databricks Data + AI Platform on Azure. This comprehensive solution unified massive data volumes from critical sources, ingested and orchestrated using Azure Data Factory and Delta Lake on Azure Data Lake Storage Gen2 and structured with the Databricks medallion architecture to ensure quality and freshness. Key components included the Databricks feature store, which enabled the preproc…
…red with the Databricks medallion architecture to ensure quality and freshness. Key components included the Databricks feature store, which enabled the preprocessing and caching of over 70 predictive features derived from large-scale datasets. By precomputing these features and updating them weekly, the system minimized o…
…ustaining inference-in-second speeds crucial for the pricing approval workflow. Collaborative development thrived using Databricks Notebooks, allowing multiple data scientists to share work seamlessly, iterate rapidly and leverage MLflow for experiment tracking and model lifecycle management. The solution deployed random forest models via serverless real-time inference t…
…dly and leverage MLflow for experiment tracking and model lifecycle management. The solution deployed random forest models via serverless real-time inference to serve instant discount recommendations directly into Steelcase’s internal Pricing and Contracts Management (PCM) application through API endpoints. Unity Catalog played a vital role in providing centraliz…
…ernal Pricing and Contracts Management (PCM) application through API endpoints. Unity Catalog played a vital role in providing centralized governance, secure data access and streamlined data cataloging across the engineering and science teams. This enabled strict data lineage tracking and consistent reproducibility, key f…
Business value
Steelcase boosted automatic pricing approvals from 35% to nearly 50% and reclaimed over 1,500 hours annually that salespeople can now spend working with customers rather than pricing.
…lows, including discount recommendations that once took 20 minutes per request, Steelcase boosted automatic approvals from 35% to nearly 50%. This advancement enabled faster deal execution, reduced friction across sales c…
…ave dramatically improved the speed and competitiveness of our pricing process. We reclaimed over 1,500 hours annually that salespeople can now spend working with customers rather than pricing, and reduced unproductive bias in our pricing approvals to win more.” The AI mo…
Technology
Agent Bricks, Delta Lake, Unity Catalog
…e : Analytics and Business Intelligence , Artificial Intelligence Cloud : Azure Product : Agent Bricks , Delta Lake , Unity Catalog Ready to get started? Try Databricks for free Learn more about our product Talk…
Business functions
Sales
…utes per request, Steelcase boosted automatic approvals from 35% to nearly 50%. This advancement enabled faster deal execution, reduced friction across sales channels and empowered teams to respond more quickly to complex deals involving diverse…
Headline outcome
…ave dramatically improved the speed and competitiveness of our pricing process. We reclaimed over 1,500 hours annually that salespeople can now spend working with customers rather than pricing, and reduced unproductive bias in our pricing approvals to win more.” The AI mo…
Use case type
Decision support
…dly and leverage MLflow for experiment tracking and model lifecycle management. The solution deployed random forest models via serverless real-time inference to serve instant discount recommendations directly into Steelcase’s internal Pricing and Contracts Management (PCM) appli…
AI capabilities
Predictive Analytics
…red with the Databricks medallion architecture to ensure quality and freshness. Key components included the Databricks feature store, which enabled the preprocessing and caching of over 70 predictive features derived from large-scale datasets. By precomputing these features and updating…
Deployment model
Cloud
…Goods Use Case : Analytics and Business Intelligence , Artificial Intelligence Cloud : Azure Product : Agent Bricks , Delta Lake , Unity Catalog Ready to get started? Try D…
Deployment options
cloud
…Goods Use Case : Analytics and Business Intelligence , Artificial Intelligence Cloud : Azure Product : Agent Bricks , Delta Lake , Unity Catalog Ready to get started? Try D…
