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Cloud ERP and AI-overhaul streamline Therabody’s core operations

By DigiconAsia Editors | Thursday, July 23, 2026, 10:17 AM Asia/Singapore

Cloud ERP and AI-overhaul streamline Therabody’s core operations

The firm modernizes manual finance and inventory processes, consolidates subsidiaries, automates workflows, and streamlines technology spending by 45%.

A firm manufacturing wellness devices has grown from marketing a single flagship product in 2016 into a multi-line portfolio sold online and through major retailers in more than 60 countries across North America, Europe, and Asia-Pacific.

As transaction volumes increased and the product mix diversified, its legacy systems, manual workflows, and fragmented data had made it difficult to keep pace with demand, obscured operational visibility, and created scaling challenges across finance, inventory, and order management. Rapid expansion had exposed weaknesses in a complex and loosely integrated technology stack. Finance and operational processes were heavily manual; global subsidiaries operated with limited consolidated oversight; and peak sales periods strained order processing capacity.

On 22 July 2026, Therabody disclosed that it had undertaken a cloud-based ERP transformation to address these constraints and build a more scalable core operations platform, unify its core systems, reduce technology costs, and apply automation and AI to everyday workflows without weakening data governance or security controls.

Key elements of the transformation included:

  • Consolidated financial management across multiple countries and subsidiaries, with standardized compliance workflows and centralized performance visibility
  • Automated order management and fulfillment capable of handling thousands of daily orders during peak periods while maintaining on-time shipment targets
  • AI-assisted querying of operational data in natural language to support faster decisions on inventory, demand, and financial close activities
  • Automated reconciliation and reporting to shorten the closing cycle and improve accuracy in financial statements
  • Integration with external AI models via a connector service designed to preserve existing data governance and security policies
  • Rationalization of the technology stack, contributing to a reported 45 percent reduction in technology costs

Said Yash Murali, the firm’s Chief Technology Officer: “…we’ve seen firsthand how a complex technology stack becomes difficult to scale. We now have a stronger foundation that lets our team focus more on strategic initiatives that move the business forward.”

According to Julie Drimel, Senior Vice President of Customer Growth, Oracle NetSuite, the ERP vendor in the project: “Consumer goods businesses don’t have room for inefficiency. In this case, AI embedded into day-to-day workflows is what helps the organization scale more efficiently across its global operations.”

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