Asset Panda Introduces “Build with Excel” to Streamline AI-Powered Account Setup in Asset Panda Pro

Asset Panda, the leading asset management software, announced a new “Build with Excel” feature within Asset Panda Pro, giving organizations a fast, intuitive way to launch their asset tracking system using familiar spreadsheet data.

The new functionality is part of Asset Panda’s AI-powered account builder experience, designed to modernize how organizations implement asset management software. When entering the account builder, users can now choose to upload an Excel file to instantly structure their system, complementing existing options like pre-built templates or generating a fully customized environment using Asset Panda’s AI platform, Ursa.

“Organizations already rely heavily on Excel to manage and organize their asset data,” said Rex Kurzius, CEO of Asset Panda. “By enabling customers to build directly from Excel, we’re meeting them where they’re at while using AI to transform that data into a fully functional asset tracking system in minutes.”

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The import feature allows users to seamlessly map and convert spreadsheet data into a live environment within Asset Panda Pro. This latest innovation reinforces Asset Panda’s position at the forefront of AI in SaaS, where intelligent automation is reshaping how software is deployed and used. By combining Excel familiarity with AI-driven configuration, Asset Panda is removing traditional barriers to entry and accelerating time to value for organizations of all sizes.

“Our focus is on simplifying complexity,” said Justin Lackey, President at Asset Panda. “Whether you’re managing thousands of assets or just getting started with a digital asset management platform, the ability to upload an Excel file and instantly create a tailored system is a game-changer.”

Asset Panda provides cloud-based asset management software used by organizations to track equipment, infrastructure and operational assets. Its platform helps organizations manage asset lifecycles, streamline inspections and improve operational decision making.

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