Insite AI Leadership
Our Leadership Team
Insite AI solves consumer goods manufacturers’ (CPG) most complex category and revenue growth management challenges, including assortment, demand forecasting, pricing and trade optimization, and space. Our world-class leadership team of retail and CPG veterans, data scientists, industry practitioners, and technology leaders enable consumer brands with usable, trusted, explainable, and granular decision-making that lets them out-perform their competitors–without disruptive infrastructure or process changes. We help some of the largest and most innovative consumer brands in the world to dominate their segments and deepen their strategic retail partnerships.
Industry Practice Leaders
Brooke Hodierne
EVP, Strategy Consulting
Former SVP of Merchandising at 7-Eleven, Brooke brings nearly 20 years of grocery and convenience retail experience to Insite AI. She understands what it takes to build valuable partnerships with retailers, and in her role as EVP of Strategy Consulting, she advises consumer brands on ways to elevate strategic business planning, achieve category leadership, and create optimal shopping experiences for their consumers.
Capri Brixey
EVP, Strategy Consulting
Former leader at Coca-Cola, Dr Pepper Snapple, and Delhaize, Capri brings extensive strategic leadership experience from both retail and supplier roles in the consumer goods industry. She was recognized as a Senior-Level Top Woman in Convenience in 2022 and has also received recognition for her leadership in collaborative/joint business planning with top retailers across multiple channels and formats.
Kristine Joji
EVP, Strategy Consulting
Kristine is a highly accomplished retail executive and former VP of Merchandising at Walmart. Kristine led strategic initiatives that resulted in substantial revenue growth for the company across Grocery and prior to that Personal Care. Widely recognized as a visionary leader, she played a pivotal role in optimizing Walmart’s merchandising with large CPGs.
Operational Leaders
Shaveer Mirpuri
Co-Founder & CEO
Former exec and board of 2 early stage VC backed companies (IPO and acquired). Subsequently invested in 15 tech companies in e-commerce, AI, consumer brands, and manufacturing, including 3 JVs with F500 corporates. Prior consultant to Walmart’s ex CEO on AI. American Chamber of Commerce named 2019 top 3 in entrepreneurship.
Matt Horne
Chief Financial Officer
As CFO of Insite AI, Matt leverages nearly 20 years of experience in leading Finance and Operations functions to align the company’s long-term vision with its near-term objectives. Throughout his career, including time at Intel, Lenovo, and IronNet, Matt has honed his skills in business partnerships and market opportunity identification.
Tevia Arnold
SVP of Marketing & Partnerships
As the Head of Marketing for Insite AI, Tevia brings 20+ years of experience in high-growth technology environments. She has successfully transformed demand generation, grown and revived brands, and accelerated growth at retail tech companies including Revionics, DemandTec, and Symphony Retail AI.
Marsha Shapiro
SVP of Client Solutions
Marsha is an accomplished AI solutions expert with over two decades of experience leading the design, development, and implementation of value-driven business capabilities. As a veteran in pricing, promotions, business planning, and supply chain optimization, she has spearheaded numerous initiatives that delivered measurable results and lasting impact for global leaders like Walmart, Target, Tiffany, Nike, and The Home Depot.
Nick Leeper
SVP of Customer Operations
As Head of Product, Nick is responsible for bringing Insite AI’s solutions to market and empowering the company’s top tier CPG customers with industry-leading products that deliver the highest value and results.
Gopalakrishna (Gopal) Tadiparthi
SVP of Machine Learning/Artificial Intelligence
As Head of Machine Learning/Artificial Intelligence for Insite AI, Gopal uncovers and addresses major pain points for customers, including how they can make the journey from Business Intelligence (BI) to Artificial Intelligence (AI) while maintaining impactful results.
