Tredence Expands Supply Chain Command Center Integration with Snowflake AI Data Cloud
Tredence, a leading global data science and AI solutions company, announced today that it has enhanced its innovative Supply Chain Command Center to the Snowflake AI Data Cloud. The advanced integration offered by many clients already now brings critical supply chain functionalities such as inventory optimization, demand forecasting, and price optimization-all of which reduce risks and operational costs- into the scope of Tredence's Go-to-Market strategy.
Supply Chain Command Center: All such interoperable and scalable data storage with provision for elastic computing, secured access to advanced large language models, as well as full governance over data and applications-all in one place is provided to the joint clients of this improvement. With this upgrade, Tredence promises AI-powered insights into modernizing supply chain operations for its clients.
"At Tredence, we design and develop global supply chain solutions that serve real-world outcomes for eight of the top 10 retailers and CPG companies and six of the leading 15 healthcare and life sciences entities," stated Sumit Mehra, Chief Technology Officer and Co-founder of Tredence Inc. "By combining with Snowflake's AI Data Cloud, we will be able to significantly enhance our capability to unlock upstream and downstream signals, understand their impact on key metrics, and deliver intelligent AI/ML predictive solutions. This collaboration's ability will empower our clients' supply chains to shift from being reactive cost centers to proactive engines of innovation, resilience, and sustainable growth."
It is to say, that Tredence is leveraging the power of the Snowflake AI Data Cloud along with its advanced AI/ML capabilities to speed up supply chain solution deployment. They have pre-built AI/ML models in their Supply Chain Control Tower Accelerator that enable a data-to-decision journey ten times faster than traditional solutions.
The company's specialized functional control towers-for example, the Inventory Control Tower, Procurement and Inbound Control Tower, and Logistics Control Tower-endow planners, buyers, operations heads, and executives with deep value. These towers allow for decisions involving inventory rebalancing, expedited shipments, alternate DC fulfillment, and dynamic operations scheduling to be made. Results have been spectacular for customers using these technologies, with an average reduction of 5-6% in logistics cost and 3-5% in operational costs, 10-12% improvement in DIOH, 8-12% improvement in ITR as well as service levels, and over 30% reduction in customer penalties due to out-of-stocks.
"The Tredence Supply Chain Command Center on Snowflake's AI Data Cloud enables our joint customers to respond nimbly and precisely to supply chain disruptions," said Adam Kaufman, Vice President of Industry Go-to-Market at Snowflake. "With the power of AI Data Cloud from Snowflake, Tredence is building a comprehensive solution that optimizes supply chains and brings strategic value to our customers. Through this partnership, clients can realize the full potential of data that drives operational efficiency, better decision-making, and business outcomes.”