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operations
December 2, 2025
Top 10 Ways a Data Gateway Improves Time to Value Across End-to-End Supply Chains
Special Guest Blog Post written by Mark Holmes with InterSystems Top 10 Ways a Data Gateway Improves Time to Value Across End-to-End Supply Chains Supply chain practitioners seeking the best way to speed decision intelligence, unify supply chain data, increase operational efficiency, and improve supply chain resilience can benefit from a supply chain data gateway. A data gateway provides unified access to supply chain data from various sources, including enterprise systems, supply chain applications, data feeds, data warehouses, data lakes, data marts, and business entities. Here are the top 10 ways a supply chain data gateway can improve your supply chain performance. Enables You to Identify Inefficiencies and Make Better and Informed Decisions A unified view of your data accelerates informed decision making and provides you with a comprehensive understanding of your supply chain. For example, a supply planner gains accelerated access to customer orders, inventory levels, and transportation schedules, all in one place, to identify inefficiencies and make better informed decisions. Reduces Implementation Times Enterprises and supply chain software providers strive to reduce application implementation times. A data gateway can serve as a front-end for a range of supply chain software applications, speeding and simplifying data ingestion, integration,…
travel
August 21, 2025
Hire, Onboard, Manage: Treating AI Agents Like New Team Members
Special Guest Blog Post written by Deborah Dull Imagine it’s launch season in your supply chain, and a team of AI agents is hard at work: coordinating shipments with suppliers, allocating inventory, and handling a missed delivery. It’s hard to go a day without hearing about the latest AI headlines: new LLMs, new applications, new use cases. These discussions are part of my every day. Business leaders and IT teams are eager to explore – and they have a lot of questions… and apprehension. In these discussions, we have found one framework that lands consistently: consider AI agents like new hires, not new software. Step 1: Hire Like You Mean It Just like hiring humans, this step is about defining what you need. The first decision is the purpose of the role: what problems are you trying to solve? Where are your people overwhelmed? Where is your business growing in coming months? From here, the next decision is to build the business case just like you would for a new headcount. For example, consider the ROI of having a digital employee who can process supplier performance data 24/7. Now, decide on the type of agent that will join…