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Rudy Agovic, PhD

Consulting Partner - AI for Sales & Customer Growth

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About Rudy

Rudy is the co-founder of Reliancy and Clarity Data Insights, a leading AI/ML solutions firm for Sales & Marketing Enablement.

He is a recognized expert in AI and Machine Learning (including AI & Industry 4.0 Tech), named a 2021 “Key Opinion Leader” by Onalytica.

Rudy has a successful track record of architecting and deploying AI/ML solutions for Sales & Customer Growth projects across various industries, including mid- and large-cap Retail, Industrials, CPG, Healthcare and SaaS.

Specifically, his expertise is in augmenting Sales and Marketing capabilities with AI, including advanced Customer Journey and Path Analytics and incorporating domain-specific, client-side LLMs into Sales and Marketing analytics solutions.

Rudy holds a PhD from the University of Minnesota and has published extensively in top-tier conferences on AI and machine learning.

Education

UNIVERSITY OF VIRGINIA – DARDEN SCHOOL OF BUSINESS
MBA – Decision Analytics and Business Ethics Focus

BAKER UNIVERSITY
Bachelor of Business Administration

Publications

  • Predictive Modeling using Dimensionality Reduction and Dependency Structures
  • Probabilistic Matrix Addition
  • Analyzing Aviation Safety Reports: From Topic Modeling to Scalable Multi-Label Classification
  • Gaussian Process Topic Models
  • Semi-supervised learning of user-preferred travel schedules.
  • Anomaly Detection in Transportation Corridors using Manifold Embedding. 1st International Workshop on Knowledge Discovery from Sensor Data

Patents

  • Universal and adaptive software development platform for data-driven applications

Recent Articles

Pricing Intelligence Engine

Rebuilding Pricing and Promotion Analytics for a Global Data-Storage OEM

April 21, 2026

A Fortune 500 global data-storage OEM was bleeding margin in its $200M U.S. B2C hard-drive business. One flagship family had taken a substantial net-pricing hit year-over-year, and roughly 45% of historical promos were returning only 0 to 20% ROI. Revology rebuilt the pricing and promotion analytics from the ground up using causal Double Machine Learning, a retailer-math ROI model, and a three-archetype segmentation framework. The target: $3M to $6M of incremental EBITDA (a 10x to 20x return on the engagement) within 12 months.

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Project APEX Pricing Power

Unlocking Pricing Power for a Global Pharmaceutical Manufacturer in Emerging Markets

April 21, 2026

A Fortune 500 global pharmaceutical manufacturer was making emerging-market pricing decisions by feel. We built a repeatable Pricing Quick Wins engine across four pilot markets, grounded in causal elasticity modeling, automated competitive equivalence mapping, and price-pack architecture and inflation-aware simulators. The pilots identified around $8M of median revenue opportunity, with a best-case of ~$12M. Local teams now own the engine and can repeat the analysis annually as inflation and the competitive set shift.

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Automated RGM Engine

Operationalizing Revenue Growth Management Analytics for a Leading Plant-Based Creamer Brand

April 21, 2026

A leading plant-based creamer brand wanted real visibility into more than $13 million of annual trade spend and a credible way to forecast promo ROI before writing checks. We built the Revenue Growth Management analytics engine for them in Python and Power BI, running on their existing stack. The team now refreshes pricing, promo, and revenue/gross profit performance deep dive models in 10 to 20 minutes and catches variance the old process missed by weeks.

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