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How to Build an Effective B2B Price Elasticity Model (in under 90 minutes)
Understanding the business impact of price changes and promotional investments is crucial for effective revenue management. In this webinar, we'll guide you through building a B2B Price Elasticity Model in under 90 minutes, using both Linear Regression and Machine Learning methods. Learn how to increase price realization, optimize inventory, and drive net sales and gross profits. Attendees will receive a comprehensive blueprint and R code to implement in their organizations.
Solving Unproductive Inventory Challenge with Dynamic Markdown Pricing
Is the lack of robust clearance pricing strategy and manual pricing processes causing unnecessary and costly inventory buildup in your warehouses?
A leading $5B consumer durables wholesaler in North America wanted to unlock significant liquidity tied up in unproductive inventory by deploying in-house markdown optimization capabilities. Please read the below case study to understand how we helped them solve a $150MM unproductive inventory problem with dynamic clearance pricing.
This article is one in a series of five detailed case studies we will publish bi-weekly on key B2B Commercial Analytics topics. It gives insight into our outcome-based analytics process, including both technical and change management pieces.
Driving Manufacturer Gross Profit through bespoke Promotion Effectiveness and Optimization Capabilities
Did you know that most promotional investments by Manufacturers are a negative ROI investment, and each 1% improvement in Promo ROI can be a massive benefit to your Operating Profit?
Many mid-market manufacturing CFOs, CMOs, Pricing, and Sales executives are struggling with Promotional spending outpacing Profit growth, leading to unnecessary profit erosion.
Fortunately, most companies have the proper data assets to build sophisticated and actionable Promotion Effectiveness & Optimization solutions in-house, using methods and technologies they are already familiar with.
If you've always wanted to know how to build robust Pricing & Promotion Analytics capabilities organically and quickly (in ~ 4 months), please read this detailed Case Study that walks you through the critical steps with concrete examples.