Operations profitability and agility, through data and AI

De-risking Operational Intelligence Projects – The OpsVeda Way!

Nov 11, 2020 10:26:00 PM / by Ratheesh posted in Enterprise Software, Operational Intelligence, Innovation Intelligence Analytics, supply chain visibility, Juni, Real time operations, Business Agility, Artificial Intelligence, Operational Excellence, Data Lakes


Amidst the blare of the US elections many of us probably didn’t notice the opening of Berlin’s new airport on 31-Oct. With its opening delayed by a good 9 years and budget overshot by $4 billion, the capital city’s airport stands out as an exception in a country reputed for engineering & planning excellence.

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How to track performance and uncover opportunities in Supply Chain!

Jun 15, 2020 2:21:00 PM / by Nandini Gautam posted in Enterprise Software, Predictive analytics, Container Prioritization, Innovation Intelligence Analytics, News, Business Agility, Innovation Intelligence Paradigm Analytics, Supply Chain Visibility, global supply chain, Artificial Intelligence, Business Analytics, Deep Learning, Prescriptive analysis, AI Assistant, OpsVeda Exceptions, Real Time Analytics


OpsVeda powered by data, rules and AI


Today’s companies continue to expand to reach global markets, but this has made control of supply chains more and more complex. Companies recognize that developing and executing successful supply chain strategies can be key to gaining a competitive advantage in the marketplace. A key to managing a global supply chain is having strong visibility. This has in turn prompted companies to use technologies such as ERP/MRP systems, warehouse management systems and transportation management systems. Additionally, companies are utilizing hardware technologies, hand-held scanners, GPS, tracking devices, cameras, microphones, RFID readers, wireless networks and automated warehouse systems (AGVs, Robots). Adoption of these technological tools allows more visibility than ever before.  But having the data, alone is not enough; managers now have millions and billions of bits of data to decipher and sort through. Having piles of data is not enough, supply chain managers are now faced with how to best use the data to obtain the right information to track performance, diagnose bottlenecks and uncover opportunities for continuous improvement.

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