Faced with growing lead volumes and inconsistent prioritization, a leading global B2B enterprise adopted AI-powered predictive lead prioritization to improve sales effectiveness. AI-ready data foundations, machine learning-based propensity models, and intelligent lead scoring enabled higher sales productivity, better pipeline visibility, and improved conversion efficiency.
Case Study Topic: Data Science Consulting
AI-Powered Cross-Sell Intelligence for Enterprise SaaS Growth
Discover how a leading global SaaS platform provider transformed its cross-sell strategy with AI-powered opportunity intelligence. Through an AI-ready data foundation, predictive propensity modeling, and intelligent account prioritization, the organization increased conversion efficiency, streamlined sales efforts, and unlocked significant pipeline growth opportunities.
AI-Powered Revenue Expansion Intelligence for B2B Growth
Explore how a leading global B2B services provider improved targeted revenue expansion using AI-powered lead intelligence and propensity modelling. The solution enabled intelligent account prioritization and embedding actionable insights into sales workflows, the organization accelerated opportunity identification, improved conversion rates, and drove scalable revenue growth.
AI-Powered Operations Transformation
Discover how a leading global manufacturer improved shopfloor efficiency using an AI-powered voice-enabled assistant. Our solution enabled real-time troubleshooting and contextual knowledge access, reduced downtime, accelerated issue resolution, and empowered operators with instant, hands-free support.
Enhancing OTIF Rate with Account-Level Fulfillment
A global CPG leader improved supply chain performance and enhanced On-Time In-Full rate through account-level fulfillment, gaining granular visibility into retail demand. This enabled a 9% uplift in order fulfillment rate and a 27% reduction in stockout-driven penalties, while driving $21M in incremental revenue from targeted store interventions.
Transforming Power BI Delivery Through PBIP-Led Standardization
A global pharmaceutical enterprise transformed its fragmented reporting ecosystem by adopting a PBIP-driven Power BI modernization strategy with MathCo. The initiative introduced version-controlled BI development, standardized KPI definitions, and enterprise governance, reducing report development timelines while enabling trusted, scalable analytics across R&D, commercial, and supply chain functions.
Store-Level Assortment Planning and Simulation
An AI-powered store-level assortment planning solution enabled a leading CPG enterprise to shift from centralized decisions to localized, data-driven SKU strategies. With simulation-led scenario planning, teams optimized shelf allocation and SKU mixes, delivering $71M improvement in net revenue per store, ~2.5% sales growth across top clusters, and 70% faster assortment plan adjustments.
Creating a Single Source of Truth for Delivery Performance with an AI-Driven Health Index
A large enterprise transformed fragmented delivery metrics into a unified, decision-ready view with MathCo’s Delivery Health Index. The solution consolidated critical KPIs, delivered real-time performance visibility, and enabled early risk identification across operations, empowering leaders to shift from reactive monitoring to proactive, data-driven decision-making. Discover how we made delivery health measurable at scale.
Driving Proactive Operations Through AI-Powered Hotspot Analytics
A global technology enterprise modernized its reactive hotspot identification process with MathCo’s unified, ML-powered analytics platform. The solution automated detection, surfaced key drivers, and delivered intuitive insights, reducing customer disruption by 20% and enabling proactive operations. Discover how AI-driven hotspot analytics made it possible.
Enhancing Inventory Visibility Through Smart Inventory Estimation
The client faced major challenges with inventory estimation and inventory visibility due to inconsistent reporting across retail stores where some updated daily, others weekly or monthly. This led to inaccurate tracking, operational inefficiencies, and increased inventory loss, driving frequent stock-outs, and planning disruptions. Our solution helped them improve stockout detection by ~21% and save $4.2M on infrastructure costs.