Tredence, a leading global data science and AI solutions company, recently announced the expansion of its Supply Chain Command Center to the Snowflake AI Data Cloud.
Already deployed by several clients, this advanced joint go-to-market (GTM) solution now offers additional features to integrate supply chain functionalities such as inventory optimisation, demand forecasting and price optimisation – reducing risks and costs.
The Supply Chain Command Center provides joint clients with interoperable, scalable data storage, elastic compute, secure access to industry-leading large language models and built-in governance for data and apps.
“At Tredence, we build global supply chain solutions, driving last-mile impact for eight of the top 10 global retailers and CPGs, as well as six of the top 15 Healthcare and Life Sciences companies,” says Sumit Mehra, CTO and Co-founder of Tredence. “Integrating Snowflake’s AI Data Cloud further enhances our ability to detect upstream and downstream signals, assess their impact on key metrics and provide intelligent AI/ML predictive solutions.
“This collaboration helps our joint clients transform their supply chains from reactive cost centres into proactive engines of innovation, resilience and sustainable growth.”
Tredence is leveraging the Snowflake AI Data Cloud and Snowflake’s advanced AI/ML capabilities to enable the rapid implementation of supply chain solutions. Tredence’s supply chain control tower accelerator offers pre-built AI/ML models, providing a swift data-to-decision journey ten times faster than legacy solutions.
Tredence’s specialised functional control towers – Inventory Control Tower, Procurement and Inbound Control Tower and Logistics Control Tower – provide significant value to planners, buyers, operations heads and executives.
These towers drive crucial decisions such as inventory rebalancing, expediting shipments, alternative distribution centre (DC) fulfilment and dynamic operations scheduling. As a result, enterprise clients have achieved an average 5-6% reduction in logistics costs, a 3-5% decrease in operational costs, a 10-12% improvement in days inventory on hand (DIOH), an 8-12% boost in inventory turnover ratio (ITR) and service levels, and an over 30% reduction in customer penalties due to out-of-stocks.
“The Tredence Supply Chain Command Center on Snowflake’s AI Data Cloud enables joint clients to navigate supply chain disruptions with agility and precision,” says Adam Kaufman, Vice President of Industry Go-to-Market at Snowflake. “By leveraging Snowflake’s AI Data Cloud, Tredence is creating an integrated solution that not only optimises supply chains but also drives strategic value for our customers.
“This collaboration enables joint customers to unlock the true potential of their data, drive efficiency, enhance decision-making and deliver measurable business outcomes.”
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Source: Tredence
