Balancing key factors such as pricing, price-pack architecture, promotion, product assortment, and distribution strategies, a traditional RGM is designed to boost profitability. Yet, despite substantial investments, many CPG organizations fall short on maximizing their ROI. Ideally, every RGM lever should be seamlessly interconnected – from data management to processes to decision-making, and activation. However, in reality, these elements often operate in silos, managed through disconnected workflows and analytical tools riddled with inconsistent data, limiting the full potential of RGM.
So how can organizations break down this silo to unlock the full potential of an RGM strategy? The answer isn’t building a brand-new application from scratch-it’s making existing applications and systems work together by ensuring seamless communication, accessibility and enabling data to flow cohesively, and thus, creating a connected ecosystem.
Disconnected RGM Approach Could Be Limiting Your Growth More Than You Realize
The fragmented analytics eco-system forces CPG leaders to rely on manual, repetitive analyses that often leads to:
- Critical Growth Decisions Being Made in Siloes – When Commercial, Trade investments, Category Management teams work in separate analytics environments, critical insights are lost, leading to incoherent growth strategies that fail to align with broader business objectives.
- KPIs & Insights Failing to Align Across Markets – Different markets and channels operate with their own KPI definitions and benchmarks. A disconnected approach would always result in inconsistent insights, making it difficult to measure relative performance and scale success.
- Delays in Answering Key Business Questions – Without a centralized system, answering critical business questions requires manual data consolidation and ad-hoc analyses, piecing together insights. This delays key decisions, such as adjusting pricing in response to inflation or reallocating promotional spend to drive higher ROI.
- Growth Plans Falling Behind Rapid Market Shifts – Consumer demand, competitive pricing, and economic conditions change fast, but rigid RGM processes struggle to adapt. With isolated levers, RGM teams struggle to adjust pricing, promotions, and distribution strategies in real time, leading to missed revenue opportunities.
This is where embracing a ‘connected’ approach becomes a pivotal element in driving the evolution of an organization’s RGM strategy. Connected System acts as a ‘connective tissue’ that brings together data, insights, and cross-functional teams—finance, sales, marketing, commercial and supply chain—under a unified framework. This integration enables real-time adaptability, consistent decision-making, and a holistic view of business performance.
Connectedness At Every Stage – The MathCo Way to Unlocking Maximum Growth
Success for any organization hinges on more than merely collecting information—it’s about creating an unbroken chain from raw data to strategic execution by integrating data, process, people, and platform to drive an agile and informed decision-making process.
Data: The Foundation of Connectivity
At the heart of every intelligent decision-making process is data. Organizations gather vast amounts of structured and unstructured data from diverse sources such as customer interactions, supply chain metrics, financial records, and market trends. However, most of the time this data is isolated or siloed; it can impede real-time responsiveness. A well-integrated data ecosystem ensures that every piece of information is accessible, and primed for analysis, setting a solid foundation for strategic actions.
Process: The Blueprint to Continuous Synchronization
A well-connected RGM strategy requires seamless coordination across teams, markets, and functions. Process connectivity ensures that pricing, promotions, demand forecasting, and financial planning remain synchronized—allowing for consistent, data-driven decision-making at scale. With a streamlined, orchestrated process backbone, RGM teams can adapt quickly to market shifts, execute plans with precision, and drive sustained revenue growth.
People: The Enablers of Connectivity
A connected RGM system empowers teams to make smarter, faster decisions by ensuring seamless collaboration across key functions. Pricing managers set optimal price strategies based on real-time data, trade analysts assess promotion effectiveness and adjust investments dynamically, category leaders align pricing and trade strategies with market trends, and finance teams ensure revenue plans drive profitability. When all stakeholders have access to the right insights at the right time, they can execute with precision—moving from reactive decision-making to proactive revenue optimization.
Platform: The Bridge to Connectivity at Scale
Disconnected tools and dashboards create bottlenecks, forcing teams to rely on manual, time-consuming workarounds. A modern RGM latform must be fully integrated through automated data pipelines that connect pricing, trade promotion, and financial planning tools. When systems communicate effortlessly, data flows in real time across departments, eliminating silos and reducing errors. With a well-integrated infrastructure, RGM teams can move beyond spreadsheet-driven decisions to an agile, automated, and insight-led approach.
Connected System in Action: A Case Study
The Challenge: A Fortune 500 CPG leader struggled with fragmented decision-making across pricing, promotions, and demand forecasting. Each team operated in silos—pricing set strategies without visibility into promotions, trade marketing ran deep discounts without considering long-term pricing, and demand forecasting failed to adjust for real-time market shifts. This misalignment led to unexpected volume swings, retailer pushback, and erratic demand patterns, causing stockouts in some regions and excess inventory in others.
Solutioning Highlights: MathCo’s approach focused on integrating—not replacing—existing systems to create a connected decision framework for pricing, promotions, and demand forecasting. Rather than building from scratch, we worked closely with finance, trade marketing, pricing, and demand planning teams to streamline data flows across their existing ERP, TPM, and BI tools.
Over the course of 6.5 months, we established automated connectors that linked pricing systems with trade promotion platforms, ensuring real-time visibility into pricing changes and promotional impact. For demand forecasting, we enhanced their existing models by integrating external demand signals and AI-driven anomaly detection, reducing reliance on static historical trends.
A key breakthrough came when we aligned teams on a shared performance framework, embedding forecasting insights directly into pricing and promotion workflows—so price changes accounted for promotional effects, and demand forecasts reflected pricing strategies. By bridging gaps between tools and teams, MathCo enabled faster, insight-led decisions, transforming RGM into a connected, agile, and profit-driven function without disrupting core operations.
The Impact: Smarter, Faster & More Aligned Execution
By integrating Pricing, Promotion & Forecasting levers, MathCo helped the Global CPG major unlock:
- $122M+ Revenue opportunity through optimized promo effectiveness in On-prem channel
- ~6.3% reduction in promotional spends by decommissioning failed experiments
- Accelerated plan adjustments from 2-3 weeks to just 1-2 days, enabling quicker response to market dynamics
Why MathCo is the right ‘Build Partner’?
MathCo’s NucliOS platform provides end-to-end capabilities that helps businesses design and implement an integrated system—from data foundations to advanced analytics—ensuring seamless connectivity across strategic and operational functions.
NucliOS acts as the backbone of this transformation with following accelerators:
- Platform Foundation: Secure and scalable enterprise application deployment with authentication integration, Veracode security compliance, role-based access control, and Terraform-based infrastructure automation.
- Reusable Code Modules: With pre-built components for data ingestion, APIs, and EDA, machine learning algorithms for marketing measurement, campaign forecasting, monitoring, and a library of 100+ customizable widgets.
- GenAI Feature Modules: AI-powered conversational assistant with a robust UI and backend, featuring graph display logic, automated insights generation, retrieval-augmented generation (RAG), codebases for GenAI data preparation (PPT), text-to-SQL, custom LLM integration, and voice-to-text interactive AI-driven experiences.
- Consumption & Frontend Features: leveraging open-source technology (Python/PySpark) for seamless integration, offer simulators, KPI and insight cards, AI-generated summaries, alerts, notifications, a data story generator, and enhanced visualization, driving faster solution development and scaling efficiency.
At MathCo, technology is only part of the equation. Our difference lies in core principles: business-centric problem-solving for real impact, scalable solutions for long-term value, and a commitment to transparency and collaboration. With AI, ML, and GenAI at the core, MathCo is more than a service provider—we are a strategic build partner.
