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Dynamic Pricing & RGM Analytics Platform with Always-On AI Agents

A Pricing Operating System That Runs After the Dashboard Loads

A pricing operating system has to run after the dashboard loads. Revology co-designs the integrated set of AI agents with your team: pricing recommendations, channel margin defense, promo ROI scoring, elasticity-driven simulations, and governance running on a clean data backbone. For mid-market companies ($100M–$2B), the system gives your commercial team a weekly operating rhythm rather than another report to interpret. We co-build it inside your tech stack and train your team to run it. For clients who prefer managed delivery, the same capability runs as Revify Analytics, Revology's cloud-hosted Pricing & RGM as a Service.

What it is

Pricing, promo, channel margin, and elasticity need one operating layer. Revology co-designs always-on AI agents and governance inside your stack, or delivers them through Revify Analytics.

How It Benefits Clients

Maximized ROI

Identify which promotions deliver the highest true lift in sales or profit and cut the underperforming promotions. By reallocating budget from low-ROI deals to proven winners, you get more impact from the same spend.

Reduced Wasted Spend

The analysis pinpoints “pass-through” leakage – cases where discounts or rebates never really reach the end consumer (for example, funding a retailer program that doesn’t translate to shopper savings). Plugging these leaks can immediately reclaim margin that was being lost in the channel.

Stronger Retailer Partnerships:

Armed with data on what works and what doesn’t, your team can collaborate with key retailers and distributors using facts. Joint business planning improves as you align promotional calendars with partners based on mutual ROI, which strengthens those relationships.

Future-Ready Planning:

With an ML-driven promotion simulator, you can predict the likely outcome of a promotion before committing trade funds. This takes the guesswork out of planning – you can forecast, for example, that a 2-for-1 deal in Q3 would cannibalize too much base sales, or that a 15% discount in December would yield a positive ROI given seasonal lift. Such foresight minimizes risk and surprises.

Our Approach

We ensure you own an end-to-end Trade Promotion Effectiveness & Optimization solution, following steps such as:

Diagnostic & Requirements Workshop

We start by auditing your current promotional data and processes. This includes mapping where all the data resides (shipments, point-of-sale, spending budgets, etc.), defining key metrics (incremental sales lift, profit uplift, ROI), and outlining the scope of the TPE/TPO solution. We make sure everyone agrees on what “effective” means for your business (e.g. ROI thresholds, incremental volume targets).

Promotional Data Integration

We integrate and harmonize all relevant data sources – internal shipment or sales data, syndicated retail sales data, retailer loyalty/POS data, and any available competitor or category benchmarks. This unified dataset provides the 360° view needed to assess promotions accurately.

Analytical Model Development

Depending on data complexity, we apply the appropriate modeling approach to measure promotional lift. For some clients, a regression-based method suffices to estimate baseline vs. incremental sales; for others, we use more advanced machine learning models to capture non-linear effects. We account for factors like seasonality, cannibalization, and competitor activity to isolate each promotion’s true impact.

Optimization Engine & Dashboard

We then build a scenario-planning module accessible through an intuitive interface (e.g. in Power BI, Tableau, or a custom web app). Users can tweak promotion parameters – timing, discount depth, product mix, in-store support (features/displays) – and immediately see the forecasted impact on volume, revenue, and profit. This interactive “sandbox” allows your trade marketing or RGM team to test and refine promo plans before execution.

Training & Ownership

Finally, we train your RGM, Sales, and Finance teams to interpret the results and maintain the solution as markets evolve. Because the entire platform runs in your IT environment, you avoid recurring vendor fees or black-box tools – your team can adjust assumptions or add new promotions and continue to get value as conditions change.

Case Study

Manufacturer profit growth through promotion effectiveness and optimization strategies.

Driving Manufacturer Gross Profit through Promotion Effectiveness & Optimization – Case Study

In this case study, we explore how a $1.5B privately-held Consumer Packaged Goods manufacturer successfully navigated the challenges of a competitive market. Facing declining market share and profitability, the company struggled with ineffective promotional strategies, leading to eroded gross margins in the face of increased promotional spending. The company collaborated with Revology Analytics to develop the Promotion Effectiveness and Optimization platform using the client’s existing tech stack. This included the development of a Pricing & Promotions data warehouse in Azure and Diagnostic and Predictive Analytics capabilities for Pricing & Promotions using Tableau and R. The case study offers valuable insights into overcoming obstacles in planning and profitability, showcasing the significant improvements in retail buyer engagement, gross profit, promotional ROI, and market share.

Frequently Asked Questions

Is the Dynamic Pricing & RGM Analytics Platform a product Revology sells?

It is a deliverable, not a licensed product. Revology co-designs and builds it inside the client's stack. The client owns the IP. There is no per-seat license.

When does Revify make sense instead of a custom build?

Revify is the better option when speed-to-value beats the desire to own the IP, or when the client's internal data engineering team is constrained. Same methodology, faster stand-up.