Simplifying Complexity: AI-Powered Portfolio Decisions with Covalense Global
Background & Context
A leading global consumer goods enterprise, managing hundreds of brands and tens of thousands of SKUs, faced mounting complexity in its product portfolio. As the catalog grew, balancing growth, efficiency, and performance became increasingly difficult. Underperforming products drained resources, while new launches often overlapped with proven performers.
To remain competitive, the customer needed a smarter, AI-driven approach to portfolio management — one that could simplify complexity, accelerate decision-making, and deliver clarity at scale.
The Challenge: Too Many SKUs, Too Little Clarity
The customer’s expanding product portfolio created a set of challenges that slowed progress:
- Underperforming SKUs consuming resources without delivering meaningful returns.
- Cannibalization risks, where new launches eroded sales of successful products.
- Fragmented data and siloed workflows, limiting visibility and delaying insights.
- Slow, resource-intensive portfolio reviews, often taking months to complete.
Without reliable, timely insights, decisions around pruning or expanding the portfolio risked inefficiency, higher costs, and missed opportunities.
The Solution: AI-Driven Portfolio Simplification Engine
The customer selected Covalense Global as a strategic partner, collaborating closely with client teams to design a portfolio simplification engine — an AI-powered recommendation platform that transformed SKU management into a faster, leaner, and more strategic process.
Key highlights of the solution:
- An AI-driven recommendation engine that analyzed tens of thousands of SKUs and surfaced clear retention, pruning, or introduction options.
- Advanced analytics models synthesizing hundreds of performance, financial, and operational parameters into actionable insights.
- Transparent recommendations that not only suggested actions but explained the “why,” building confidence among decision-makers.
- Scalable architecture capable of supporting large portfolios and future growth with minimal additional overhead.
- Well-documented processes and governance structures, ensuring smooth adoption, accountability, and repeatability.
By combining technical brilliance, strong documentation, and user-centric design, Covalense Global helped the customer transform SKU complexity into clarity.
The Impact: Smarter, Faster, Leaner Decisions
The program delivered tangible and measurable results:
- 90% faster portfolio reviews, reducing evaluation cycles from weeks or months to AI-driven recommendations in minutes.
- 20–25% lower infrastructure and operational costs, achieved by consolidating fragmented systems into a scalable single-instance framework.
- 30% improvement in decision quality, with AI uncovering underperformers, churn risks, and cannibalization patterns missed by manual reviews.
- 40% faster adoption by teams, supported by Covalense Global’s comprehensive documentation and intuitive design.
- Significant value opportunities identified across the portfolio, freeing leadership to focus resources on high-impact products.
What was once a slow, resource-heavy, and fragmented process is now a transparent, intelligent, and future-ready portfolio management system.
Looking Ahead
The portfolio simplification engine is now a cornerstone of the customer’s product management strategy. With its AI-powered recommendation engine, scalable architecture, and clear decision framework, the customer is equipped to continuously refine its product mix with agility and confidence.
Together with Covalense Global as a trusted strategic partner, the customer can:
- Sustain portfolio efficiency and profitability.
- Make faster, data-driven decisions that adapt to shifting consumer demand.
- Build a future-ready product ecosystem, reducing complexity while driving growth.
This engagement demonstrates how strategic partnerships, technical brilliance, and AI innovation can transform product portfolio complexity into clarity, resilience, and measurable business impact.
