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Divyesh Wani - Powerweave - Page 2 of 6

The best master data management (MDM) solution is not the platform with the longest feature list. It is the one that fits your data domains, technology landscape, and ability to govern data after implementation.  For a CPO, the test is practical. Can the solution help procurement work with one reliable view of suppliers, materials, services, categories and...

Static supplier scorecards can’t catch a dynamic risk. Here’s what procurement teams are using instead. When something breaks in procurement, a late delivery, a cost overrun, a compliance gap, the root cause is almost always upstream, sitting quietly in a supplier relationship no one was watching closely enough. Most procurement teams are still grading suppliers...

Why the smartest procurement teams aren’t the ones with the best tools, they’re the ones that adapt the fastest. AI tools are multiplying. Inflation is unpredictable. Regulations shift overnight. Supply chains break without warning. If your procurement team is exhausted from “keeping up,” you’re not alone, and more tech stack isn’t the fix. There’s a quieter...

Bad data rarely announces itself. It doesn’t crash a system or trigger an alarm, it just quietly sits inside contracts, supplier records, and spend reports until it costs an organization real money, real compliance exposure, and real credibility with stakeholders. Procurement leaders often sense something is off, but few can point to exactly where the...

Everyone’s talking about AI in procurement. But here’s the uncomfortable truth: most AI initiatives stall not because the tech fails, but because the data does. That’s what we call data debt, the accumulated clutter of fragmented, unclean, or siloed procurement data that drags down transformation. An Airbase survey found that 96% of organizations already use...

Technology adoption in the promotional products industry has moved steadily forward. Suppliers and distributors now use more platforms, portals, integrations, reporting tools, and automation than they did a decade ago.  Yet many operating teams still spend too much of their day moving information between systems, checking details manually, following up on status, correcting order data,...