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High-growth technology companies thrive on speed. Engineering teams move fast. Product innovation accelerates. Customer expectations rise. But as companies scale, one function is often left relying on tools that simply can’t keep up: supply chain planning.

For Verkada, a leader in AI-powered physical security technology, that reality had become impossible to ignore.

Known for its engineering-driven culture and rapid expansion across cloud-based hardware and software, Verkada had outgrown spreadsheet-based supply chain planning. What once worked as a flexible, manual solution could no longer support the growing complexity of the business. The pace was too fast, the scale too large, and the risk too great.

Verkada needed a planning foundation built for how modern technology companies operate today, not one designed for the challenges of yesterday.

A Turning Point for Planning

Spreadsheet-driven planning had reached its limits. As Verkada continued to scale, manual processes made it harder to maintain visibility, align teams, and make decisions at the speed the business required. Planning complexity increased across products, suppliers, and BOM structures, while expectations around responsiveness and operational excellence continued to rise.

The company recognized that incremental improvements wouldn’t be enough. What was needed was a fundamental shift from manual, reactive planning to a modern, intelligent, and scalable platform purpose-built for growth.

That realization kicked off a comprehensive evaluation of enterprise supply chain planning solutions.

Looking Beyond Legacy Systems

During the evaluation, Verkada reviewed several established planning platforms, including vendors highly ranked in the Gartner Magic Quadrant. Many offered strong capabilities, but they also came with tradeoffs that didn’t align with Verkada’s operating model.

Traditional planning systems often introduce heavy architecture, rigid workflows, and long-term constraints. This is exactly the opposite of what a fast-moving, engineering-driven company needs. Verkada wasn’t looking to replace spreadsheets with another system that would slow down the business.

“We were not interested in stepping backward into one of the many legacy planning tools built for yesterday’s challenges,” said Dave Stone, VP of Sourcing and Supply Chain at Verkada. “We wanted a modern platform that reflects how high-growth technology companies operate and is specifically built for today’s supply chain complexities.”

That mindset led Verkada to ketteQ.

Read the full announcement in the press release here.

Why Verkada Chose ketteQ

Verkada selected ketteQ as its enterprise supply chain planning platform because it offered a fundamentally different approach, one designed for speed, adaptability, and scale.

At the heart of ketteQ is PolymatiQ™, an agentic AI solver engine that continuously evaluates planning scenarios and adapts as conditions change. This enables teams to move faster without relying on static assumptions or manual rework. Rather than relying on infrequent planning cycles or rigid models, PolymatiQ™ enables intelligent decision-making in real-time as the business evolves.

Just as important, ketteQ’s AI-enabled architecture and streamlined, out-of-the-box design aligned with Verkada’s expectations for modern enterprise software.

Throughout the evaluation process, Verkada was also impressed by the ketteQ team’s depth of expertise and high-touch engagement. Their ability to quickly understand Verkada’s requirements and translate complex needs into clear, actionable solutions reinforced that this was a partner aligned with Verkada’s pace and culture.

Building a Planning Foundation for Growth

With ketteQ, Verkada is establishing an enterprise-grade planning system that supports demand, supply, and inventory planning while integrating historical and pipeline data. The platform will provide real-time visibility across JDMs, sub-tier suppliers, and BOM structures, giving teams the insight they need to act quickly and confidently.

More importantly, Verkada gains a planning foundation designed to grow with the business. As complexity increases, the system adapts, enabling speed, agility, and operational excellence without introducing unnecessary friction.

For Mike Landry, CEO of ketteQ, Verkada’s decision reflects a broader shift happening across the industry.

“Verkada embodies the type of modern, tech-forward company that expects speed, intelligence, and flexibility from its planning systems,” said Landry. “Their decision to move directly from spreadsheets to a best-of-breed, AI-enabled planning platform reflects what we’re seeing across high-growth innovators. They want planning tools that work the way they work.”

Takeaways

Verkada’s move from spreadsheet-based planning to ketteQ highlights a critical inflection point for modern enterprises. As businesses scale and complexity increases, manual tools and legacy systems can no longer keep pace with the demands.

By choosing a modern, AI-enabled planning platform powered by PolymatiQ, Verkada is establishing a supply chain foundation that is designed for rapid growth, adaptability, and long-term operational excellence.

It’s a clear signal that the future of supply chain planning belongs to systems built for speed, intelligence, and continuous change, not static models and manual workarounds.

To learn more about how ketteQ is helping modern companies replace spreadsheets with adaptive, AI-driven planning, explore our customer success stories.

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About the author

Sneha Bishnoi
Sneha Bishnoi
Vice President of Product Management

Sneha Bishnoi is Vice President of Product Management at ketteQ, where she leads product strategy and innovation for adaptive supply chain planning solutions built on Salesforce. She has extensive experience implementing legacy supply chain planning systems at leading companies worldwide, giving her a unique perspective on the limitations of traditional approaches and the opportunities unlocked by modern, AI-powered planning. With a background spanning product management, consulting, and data science, Sneha brings deep expertise in operations research, advanced analytics, and digital transformation. She holds a master’s degree in operations research from Georgia Tech and a Bachelor of Engineering in Computer Engineering from the University of Mumbai.

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