Buyer’s Guide Breakout:
Supply Chain Visibility -
Defining the Platform
We continue our series on the different challenges faced by buyers as they tackle supply chain visibility. Our next question in focus: How does the vendor define its supply chain platform?
During that search process, some important questions need to be answered:
- Does the supply chain platform integrate with all types of data from diverse sources, or does it create another data silo for you to manage?
- How does the supply chain platform handle changes in data models and architecture?
- Can the platform assist with important decision-making, such as identifying which suppliers are most likely to disrupt the flow of business?
- Does the platform have the capability of guiding supplier collaboration to mitigate issues?
At Tada, we perform a supplier readiness assessment to answer these crucial questions. Then we use our technology to build a “digital duplicate” of the customer’s entire data “body.” AI-guided dating modeling then goes to work, predicting changes and enabling supply chain decision-makers to make the best choices. Then the platform blends business processes and logic with analytical workflows, empowering insight-based decisions. This optimization of the supply chain process also makes for more effective collaboration with every node in the supply network.
The most effective supply chain technology ingests information from many and varied data sources and synthesizes it. Leveraging semantic technology to unshackle data from the rigid way it is usually organized, business leaders get a much more flexible view and can, importantly, break down silos to explore connections between pieces of data in ways they never could before.