Chain.io

At Chain.io, we move the data that moves your freight. Take a look at how our platform connects systems so you have better control over the information you need to manage your supply chain.

We've shared some exciting new features in our latest releases to help customers take control of their supply chain data integrations. Some highlights: 🔹 Improved flow configuration UI 🔹 Currently deployed flows tag 🔹 Save incomplete flow configurations Check out the details in our release roundup ⤵️

Everyone you work with expects you to communicate and collaborate with them through technology. Bart A. De Muynck joined Brian Glick on the Supply Chain Connections podcast to discuss the freight tech adoption curve and how your business should be leveraging technology in today's supply chain landscape. They dig into: 🔹 Evolving technology across supply chains from the early days to now 🔹 Technology implementations and the importance of organizational change when getting started 🔹 The future of AI in supply chains 🔹 What supply chain pros should expect for 2025 any beyond Listen to the full discussion here: https://lnkd.in/giyEebgm

With Chain.io as your integration layer, your team can standardize and clean data from internal, third-party, and service provider data sources to move into Snowflake to gain a deeper understanding of your supply chain. Whether you want to optimize freight spend, achieve data consistency, or better track provider performance, the Chain.io and Snowflake integration makes it possible. Check out how other supply chain teams are getting started: https://lnkd.in/gEF6kJTY

The relationship between LSPs and their shipper customers has to be more collaborative in 2025. But there are still questions that a shipper's supply chain team is best positioned to answer. Things like: 🔹 Where should we source? 🔹 How do we balance risk and complexity? 🔹 How do we achieve optimal landed cost? 🔹 Will we move more or less freight next year? As an LSP, you can better support your customers by automating shipment data to their systems so they have all of the information needed to answer these questions.

We're thrilled to announce that Paul Mullins has joined the Chain.io team as a Special Advisor - Global Freight! "Paul's deep knowledge of the freight forwarding landscape and his ability to align technology with operational needs make him an invaluable addition to the Chain.io team." - Brian Glick, CEO of Chain.io Check out all of the details here: https://lnkd.in/g-cuMsp6

To support data sharing and transparency with customers, you’ll have to have the right data architecture in place. “Before” is how many LSPs have previously thought of data ecosystems, and how shipper and LSPs integrations have been structured. Many LSPs are still using this framework, with a TMS at the core of their ecosystem. Some challenges with this: - You can only work in the formats these systems are built - Analysis becomes really difficult - Your TMS receives data in all formats and naming conventions Future data ecosystems are shifting to to have an enabling layer and data warehouse at their core. Feeding all raw data into the enabling or integration layer ensures that the data sent to your data warehouse, and ultimately TMS and customer systems, is sent in one standard, clean, and accurate format. This setup gives you the information you need to answer customer questions faster, especially as you adopt AI and analytics tools into your tech stack.

Overcoming supply chain data silos isn't without its challenges. The most common obstacles we see include connecting new tech and legacy systems, data governance issues, and just plain resistance to change. These challenges can be overcome with a few strategic approaches and best practices:

Why should shippers engage with LSPs like generative AI models? In our workshop last week, Brian Glick compared logistics service providers to generative AI models because of the vast amounts of knowledge they have about moving freight and supply chain operations. As an LSP, your biggest advantage to your shipper customers is this incredible insight into efficient freight movement and market conditions. With all of this knowledge, you can excel at: - predicting ETA - freight audit - trade compliance risk - origin management automation - tariff engineering prompts - supplier survey management There’s a strong chance you know more about customer supply chains than they do, so as you listen to their needs, share recommendations and advice for operating more efficiently. Check out all of the advice shared from Brian and Christian van Eeden in our recap: https://lnkd.in/gdbiXHKX

Expectations of LSPs have (obviously) shifted in the last 20 years. In the midst of disruptions and supply chain chaos, LSPs had to adapt their technical capabilities to answer new questions from their customers. Now that real-time data sharing has become more attainable, expectations are shifting yet again. Shippers want to know what is about to go wrong and what they should do differently to avoid risks and problems in the future. See the breakdown of evolving expectations and responsibilities for LSPs and Shippers ⤵️