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Case Studies

Case Studies
Enrico

Rebuilding Pricing and Promotion Analytics for a Global Data-Storage OEM

A Fortune 500 global data-storage OEM was bleeding margin in its $200M U.S. B2C hard-drive business. One flagship family had taken a substantial net-pricing hit year-over-year, and roughly 45% of historical promos were returning only 0 to 20% ROI. Revology rebuilt the pricing and promotion analytics from the ground up using causal Double Machine Learning, a retailer-math ROI model, and a three-archetype segmentation framework. The target: $3M to $6M of incremental EBITDA (a 10x to 20x return on the engagement) within 12 months.

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Case Studies
Armin

Unlocking Pricing Power for a Global Pharmaceutical Manufacturer in Emerging Markets

A Fortune 500 global pharmaceutical manufacturer was making emerging-market pricing decisions by feel. We built a repeatable Pricing Quick Wins engine across four pilot markets, grounded in causal elasticity modeling, automated competitive equivalence mapping, and price-pack architecture and inflation-aware simulators. The pilots identified around $8M of median revenue opportunity, with a best-case of ~$12M. Local teams now own the engine and can repeat the analysis annually as inflation and the competitive set shift.

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Case Studies
Enrico

Operationalizing Revenue Growth Management Analytics for a Leading Plant-Based Creamer Brand

A leading plant-based creamer brand wanted real visibility into more than $13 million of annual trade spend and a credible way to forecast promo ROI before writing checks. We built the Revenue Growth Management analytics engine for them in Python and Power BI, running on their existing stack. The team now refreshes pricing, promo, and revenue/gross profit performance deep dive models in 10 to 20 minutes and catches variance the old process missed by weeks.

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Agricultural chemical sales analytics dashboard showing performance metrics and trends.
Case Studies
Armin

Unlocking Sales Performance with Commercial Analytics Transformation in the Agricultural Chemical Industry – Case Study

Discover how a leading chemical manufacturer transformed its sales analytics capabilities to drive insights-driven decision making and improve sales performance. We partnered with the client to develop a customized sales analytics platform, overcoming data silos and manual reporting processes to unlock real-time insights and enhance efficiency. Learn how interactive visualizations, advanced analytics, and comprehensive training empowered the sales team to optimize commercial strategies and unlock greater organic growth. Read the case study to see how your organization can leverage commercial analytics transformation to unlock its full potential.

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Car on stacked coins with percentage symbol, representing auto service pricing strategies.
Case Studies
Armin

Driving Profitable Growth with Insights-Driven Pricing Transformation in Auto Service Retail

Learn how a leading national auto service retailer optimized its pricing strategy to unlock millions in operating profit. Through a multi-phased approach, we helped them overcome fragmented data, outdated systems, and inconsistent pricing practices. Discover how an optimized pricing strategy, customer segmentation, and advanced analytics led to significant revenue gains and improved operational efficiency. Read the case study to see how your auto service business can achieve similar results.

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Food CPG consumer case study focusing on pricing, clarity, and offer design.
Case Studies
Armin

Consumer: Food CPG – Case Study

Industry: Food CPG – breakfast & snacks
Area: Pricing Power Clarity, Offering Design & List Price Optimization

In collaboration with EBITDA Catalyst, Revology’s strategic partner for driving value creation for mid-market Private Equity.

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Dynamic markdown pricing to solve unproductive inventory challenges.
Articles
Armin

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.

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Have a Revenue Growth Analytics pain point, a question, or a content suggestion?

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