Leading Battery Distributor

The challenge: Limited market visibility slowed growth decisions

A leading battery distributor with a national footprint set out to accelerate growth as part of a multi-year expansion strategy. Despite having access to billions of internal, third-party, and market data points, the organization struggled to turn data into actionable insight.

Key challenges included:

• Limited visibility into regional and local demand, with national market share masking underperforming and oversaturated areas
• Disconnected data sources across internal sales, vehicle-in-operation data, part catalogs, and competitive intelligence, resulting in forecasting inefficiencies
• Inability to assess competitive presence and remaining opportunity at a granular level, limiting confidence in pricing, distribution, and expansion decisions
• Lack of rooftop-level and whitespace insight, forcing sales and leadership teams to rely on instinct rather than evidence

Without localized, predictive intelligence, the organization risked misallocating capital, sales coverage, and growth investments.

The solution: Argano's Decision Intelligence Solution delivers decision-ready intelligence

The distributor partnered with Argano to deploy a Decision Intelligence Solution—not a platform purchase, not a lengthy transformation, but a disciplined, iterative approach designed to deliver actionable intelligence rapidly and cost-effectively.

Through a proven four-layer framework, Argano enabled high-confidence business decisions while avoiding the pitfalls of over-automation and data sprawl:

Foundation: Breaking through technology lock-in

Argano established a secure, sovereign foundation layer powered by Databricks, creating space for accelerated innovation without disrupting existing enterprise systems. This greenfield approach enabled the distributor to move quickly without platform commitments or infrastructure overhauls.

Curation: Focusing on the right data, not all data

Rather than attempting to ingest and harmonize every available data source, Argano iteratively identified and curated only the data critical to decision-making. The team harmonized internal sales data with vehicle-in-operation intelligence, competitive datasets, and part catalogs—improving efficiency while controlling cost and timeline.

Insights: Elevating signal, eliminating noise

By deliberately constraining model features and precisely targeting data retrieval, Argano significantly strengthened intelligence. This approach enabled machine learning models to deliver faster, cleaner, and more accurate outputs:

• Granular demand forecasting at the ZIP-code and rooftop level
• Localized competitive intelligence replacing national averages
• Whitespace and rooftop identification automatically excluding existing customers
• Predictive models estimating remaining market opportunity with high confidence

Interaction: Building trust through steady iteration

Within the first week of deployment, Argano delivered interactive business intelligence and machine-learning-driven analytics to sales, pricing, product, and growth teams. The solution progressed deliberately from exploratory "what-if" conversations to suggestive guidance—building trust through transparency and human-guided decision-making rather than premature automation.

This disciplined, iterative approach ensured speed, trust, and measurable impact—while establishing reusable analytical assets for sustained growth.

The results: Actionable intelligence accelerates growth

With Argano's Decision Intelligence Solution in place, the distributor gained the clarity needed to act decisively and confidently:

• Hundreds of net-new rooftop and ZIP-code opportunities uncovered, enabling focused sales and distribution expansion
• Up to 400% improvement in hit rate by targeting only verified whitespace opportunities
• 25% reduction in time spent sourcing prospects, allowing sales teams to redirect effort toward selling
• Improved pricing, inventory, and coverage strategies informed by localized demand and competitive insight
• More confident acquisition and investment decisions supported by provable performance data rather than national averages

Today, the organization operates with a decision-ready intelligence foundation that continuously informs where to invest, how to compete, and how to sustain growth—turning market complexity into a competitive advantage.