Generative AI is rapidly reshaping how enterprises compete, operate, and create value. According to McKinsey, while 88% of organizations have adopted AI in some capacity, only 39% report a measurable impact on EBIT. With AI investment accelerating, the key challenge is operationalizing AI at scale and turning isolated initiatives into sustained business outcomes.
For leaders, this creates a gap between ambition and impact. Scaling intelligence requires a trusted data foundation, governed access, and the ability to embed AI into business processes securely and repeatably.
The MathCo–Databricks partnership is designed to help enterprises bridge this gap. By combining Databricks’ Data Intelligence Platform with MathCo’s domain expertise and AI accelerators, organizations can establish the foundations required to scale intelligence, accelerate decision-making, and drive measurable business outcomes across functions.
How MathCo and Databricks Operationalize Enterprise Intelligence
At MathCo, we believe AI’s true value lies in better business decisions at scale. Our partnership with Databricks helps organizations move past isolated initiatives and embed intelligence into core processes across pricing, promotions, assortment planning, demand forecasting, personalization, and customer engagement.
This approach stands out with its focus on enterprise adoption and measurable business impact. Leveraging Databricks Genie, multi-agent orchestration, and proven frameworks for Customer 360, forecasting, personalization, and commercial optimization, we accelerate AI deployment and reduce complexity. With a unified intelligence layer, leaders respond faster to market shifts, improve operational performance, and unlock greater data value.
Enterprise Intelligence in Action Across Industries
Healthcare and Life Sciences
Using the Databricks Data Intelligence Platform, MathCo enabled a global pharmaceutical organization to modernize its Patient Support Programs by establishing a unified intelligence layer across patient, claims, clinical, and engagement data. This created a consistent foundation for understanding patient journeys and enabled more targeted and proactive interventions, improving adherence and overall therapy outcomes.
Read this article to learn how MathCo and Databricks enable hyper-personalized Patient Support Programs: Here.
For another global pharmaceutical organization, MathCo built RepGPT, a multi-agent AI assistant powered by Databricks. By bringing together structured and unstructured clinical, CRM, and market data into a governed environment, the solution enables field and medical teams to interact with enterprise intelligence in real time. This significantly improves planning quality, engagement effectiveness, and decision speed across commercial operations, resulting in a 60% reduction in administrative prep time, 30% improvement in HCP engagement quality, 50% fewer repetitive tasks, and a 25% boost in rep productivity.
Read this article to learn in detail how MathCo’s RepGPT on Databricks enables real-time pharma intelligence: Here.
CPG
In CPG, competitive advantage increasingly depends on how quickly organizations convert commercial data into pricing, assortment, and marketing decisions.
MathCo’s Assortment and Range Planning solution, built on the Databricks Data Intelligence Platform, helped a global CPG organization replace fragmented planning cycles with a unified decision framework. By integrating POS, product, pricing, and promotion data into a single intelligence layer, the solution supports scenario analysis, demand transference modeling, and localized assortment optimization. As a result, planning precision improved, and alignment between commercial strategy and market demand accelerated.
Read this article to learn in detail how MathCo and Databricks modernize assortment and range planning: Here.
To help a leading CPG manufacturer continuously optimize marketing investments, MathCo delivered an Always-On Marketing Mix Modeling solution on Databricks. By consolidating granular marketing and performance data into a governed environment, the solution enables continuous measurement of channel effectiveness and automated model refreshes. This shifts marketing from periodic analysis to continuous optimization of spend, improving responsiveness, and ROI. Notable outcomes include up to 70% reduction in data preparation effort, 90% increase in insights adoption, and an approximate 1.3% revenue uplift.
Read this article to learn how MathCo’s Always-On MMM on Databricks improves marketing ROI: Here.
Manufacturing
Manufacturing organizations are increasingly focused on improving operational agility by better coordinating planning and execution systems.
MathCo’s Production Scheduling Optimization solution, built on Databricks, enabled a leading beverage manufacturer to unify production, operational, and supply chain data within a governed intelligence layer. This allows planners to evaluate constraints, demand shifts, and supply variability in a single environment and translate them into optimized production schedules. The solution improves schedule accuracy, reduces planning inefficiencies, and strengthens alignment between production execution and demand requirements. It also reduces reporting time from over six hours to under 15 minutes per site per day and saves 24,000+ planner hours annually.
Read this article to learn in detail how MathCo and Databricks optimize production scheduling at scale: Here.
Retail
Retail enterprises face increasing pressure to unify fragmented customer data across digital and physical channels to deliver consistent, personalized experiences at scale.
For a leading global fashion retailer, MathCo built Customer 360 Insights Activation on Databricks to unify customer, transaction, and omnichannel interaction data within a single intelligence layer. This allows organizations to establish a trusted view of the customer, enabling more precise segmentation, improved personalization, and more effective loyalty and engagement strategies across channels. This resulted in 30% fewer duplicate records, a 95% reduction in data quality issues, and a 15% increase in campaign conversions.
Read this article to learn in detail how MathCo and Databricks enable unified Customer 360 transformation: Here.
Conclusion
Enterprise AI success is increasingly defined by whether intelligence can move reliably from data to decision at scale. Most organizations already have the tools, but lack the operating model to make AI persistent, governed, and aligned to business execution across functions.
What sets the MathCo–Databricks partnership apart is its focus on execution rather than enablement. Unlike traditional providers that primarily implement platforms, MathCo brings deep industry context and ready-to-deploy accelerators on Databricks to operationalize AI into business workflows quickly and at scale. This ensures enterprises move beyond building data and AI systems to actually using them for consistent, measurable decision-making impact.
Read the full article on Databricks to see how this ecosystem is shaping practical GenAI adoption across industries: Here.
