Revenue Growth Management (RGM) is no longer a back-office function; it is a strategic capability that determines how efficiently a business can convert insight into impact. For one of our clients in the beverage industry, this mindset has translated into two ambitious initiatives—one in the food channel and another in hospitality—that are redefining how performance is measured, optimised and scaled across the commercial operation. 

At Metyis, we had the opportunity to co-design and implement both projects in close collaboration with our client's business and analytics teams. The result? Two intelligent platforms that do more than crunch numbers—they enable a new way of making decisions. Here’s how we made that happen. 

Unlocking ROI intelligence in the food channel 

The food channel for our beverage client represents a high-volume, high-complexity environment, where promotional actions play a pivotal role. Yet until recently, it was difficult to pinpoint the actual return on those investments. How much of a sales lift was truly incremental? How did cannibalisation or seasonal effects influence the outcome?

To tackle this, we co-developed a fully automated system—built in Pyspark—that calculates SKU-level ROIs by factoring in promotional intensity, timing, and channel dynamics. The cornerstone of the system is a robust baseline methodology, capable of isolating causal effects with statistical precision.

Beyond analytics, the tool serves as a strategic control panel. It enables the RGM team to evaluate campaigns, assess client-specific performance, and optimise commercial spend. Crucially, the platform also identifies B2B transaction patterns in hypermarkets, offering visibility into previously hidden sales flows.

With automation as a foundational principle, the system is now integrated into this client's operational rhythm, providing decision-makers with timely and actionable insights. In doing so, it transforms ROI measurement from an annual reporting exercise into a real-time capability for profitable growth. 

Redefining the picture of success in hospitality

In Hospitality, the challenge was different but equally strategic: redefining the so-called “Picture of Success” (PoS)—a framework used to evaluate whether each point of sale (POS) meets commercial expectations in terms of product presence and category representation. 
 
Historically, this picture lacked resolution. Criteria were inconsistent, tracking was manual, and performance evaluations varied across regions and managers. To modernise it, we co-created a solution grounded in data science. 

At the heart of this transformation is a clustering model built in Python, that groups outlets by the performance patterns they actually exhibit, and, within each cluster, a tailored compliance methodology benchmarks every POS against the product mix, purchase frequency, volume and category diversity that define success for its peer group. 

By judging apples against apples, this approach sets sharper targets, delivers more coherent commercial recommendations and gives KAM evaluations a fairer, data-driven footing. But more importantly, it empowers the organisation to identify actionable patterns, prioritise sales efforts, and elevate the overall quality of execution. 

What was Metyis’ role?

Our involvement went far beyond coding models or developing tools. It was about building enduring capabilities with three key differentiators:

1. Business-first thinking

We started with the real questions that our client’s teams were trying to answer—then translated them into analytical frameworks that reflect commercial reality, not just statistical elegance. 

2. Technical depth, delivered simply

Both solutions incorporate advanced modelling techniques, but our focus was on usability. From dashboards to documentation, everything was designed to ensure adoption and ownership by the client teams. 

3. Co-creation as a mindset

We didn’t just deliver a solution—we built it together. Working hand-in-hand with the beverage business, analytics and technology teams, we ensured that every model, metric and process was aligned with internal logic and integrated seamlessly into daily operations. The success of these projects lies as much in the collaboration model as in the final deliverables. This partnership-based approach has helped not only to accelerate delivery, but to guarantee long-term impact.

Growth, measured differently 

Through these initiatives, our client has transformed RGM from a reactive function into a strategic growth enabler.  Whether it’s understanding ROI dynamics in supermarkets or recalibrating commercial expectations in bars and restaurants, the common thread is the same: letting data lead the way, with business in the driver’s seat. 

At Metyis, we are proud to be part of this journey. These projects are not just about building tools—they are about building confidence, clarity and control in the decisions that shape a business. And when that happens, growth is no longer just possible. It becomes predictable.