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Price Optimization & Automation

Overview

Leverage advanced algorithms and automated workflows to transition from static to dynamic pricing.

By reducing manual intervention and reacting to market shifts in real-time, we help you capture “left-on-the-table” revenue with surgical precision.

Dynamic Pricing & RGM Analytics Platform​

A Dynamic Pricing & RGM Analytics Platform is a unified solution that automates real-time price optimization and centralizes all key revenue metrics in one place. It continuously analyzes data (e.g. competitor prices, inventory levels, demand signals, promotions) to calculate the ideal price for each product, channel, or region at any moment. We can custom-build this platform within your tech stack or deploy Revify – our Pricing & RGM as a Service -cloud-based Pricing& RGM analytics platform – for a rapid, enterprise-grade solution without costly third-party licenses.

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Pricing and Revenue as-a Service

Our experts leverage advanced AI and ML analytics to unlock hidden sales and marketing potential.

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Browse Articles

Pricing Intelligence Engine

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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Project APEX Pricing Power

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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Automated RGM Engine

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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