Tredence Expands Supply Chain Command Center to the Snowflake AI Data Cloud

Tredence, a leading global provider of data science and AI solutions, has announced the expansion of its Supply Chain Command Center to the Snowflake AI Data Cloud. This advanced joint Go-to-Market (GTM) solution, already implemented by various clients, now features enhanced capabilities for integrating key supply chain functions such as inventory optimization, demand forecasting, and price optimization, all aimed at minimizing risks and costs.

The Supply Chain Command Center offers clients interoperable and scalable data storage, elastic computing, secure access to top-tier large language models, and built-in governance for data and applications. Tredence’s innovative approach provides customers with AI-driven insights, modernizing their supply chain operations.

"At Tredence, we create global supply chain solutions that drive last-mile impact for eight of the top 10 global retailers and consumer packaged goods companies, as well as six of the top 15 companies in Healthcare and Life Sciences," said Sumit Mehra, CTO and Co-founder of Tredence. "Integrating with Snowflake's AI Data Cloud enhances our ability to detect critical signals across the supply chain, assess their impact on key metrics, and deliver intelligent AI/ML predictive solutions. This partnership enables our clients to transform their supply chains from reactive cost centers into proactive engines of innovation and sustainable growth."

By leveraging Snowflake’s advanced AI/ML capabilities, Tredence accelerates the implementation of supply chain solutions. The company’s supply chain control tower accelerator includes pre-built AI/ML models, achieving a data-to-decision process that is ten times faster than traditional methods.

Tredence also offers specialized functional control towers—such as Inventory Control Tower, Procurement and Inbound Control Tower, and Logistics Control Tower—that deliver significant benefits to planners, buyers, operations leaders, and executives. These tools facilitate critical decisions like inventory rebalancing, expediting shipments, exploring alternative distribution center fulfillment, and dynamic operations scheduling. Clients have reported average savings of 5-6% in logistics costs, 3-5% in operational costs, and improvements of 10-12% in days inventory on hand (DIOH) and inventory turnover ratio (ITR), along with a reduction of over 30% in customer penalties due to out-of-stocks.

"The Tredence Supply Chain Command Center on Snowflake's AI Data Cloud empowers clients to navigate supply chain disruptions with agility and precision," stated Adam Kaufman, Vice President of Industry Go-to-Market at Snowflake. "By utilizing Snowflake’s capabilities, Tredence is crafting an integrated solution that not only optimizes supply chains but also delivers strategic value, enhancing decision-making and driving measurable business outcomes."

About Tredence

Tredence is a global provider of data science and AI solutions, focused on bridging the gap between insight generation and value realization. With over 3,000 employees and offices in key locations such as the San Francisco Bay Area, Chicago, London, Toronto, and Bengaluru, Tredence collaborates with leading companies across various sectors, including retail, CPG, high-tech, telecom, healthcare, travel, and industrial. By leveraging deep domain expertise and innovative data platforms, Tredence delivers customized, state-of-the-art solutions to its clients.