If you're a Walmart supplier, your Monday morning probably looks something like this:
You log into Retail Link. You pull up Scintilla. You download 14 files -- sales and inventory, eComm sales, eComm inventory, eComm returns, vendor scorecard, tender analysis, demand forecast, order forecast, DC metrics, store MUMD, future valid items, modular plan metrics, eComm instock, and item tables.
Fourteen Excel files. Every single week. For every supplier ID you manage.
And then the real work starts.
The 2.5-Hour Ritual
Open each file. Reformat columns. Build pivot tables. Copy numbers into last week's template. Update the charts. Write up a summary for your team. Format a deck for the buyer meeting.
If you're fast, that's about 2.5 hours. If you manage multiple supplier IDs or work at a broker, multiply that by 3, 5, or 15.
By Wednesday, you've got a rough picture of last week. By Thursday, you're presenting data that's already 5 days old.
The Signals You're Missing
The problem with this workflow is simple: it's backward-looking by design. All your time goes to figuring out what happened instead of what's about to happen.
While you were building pivot tables, these signals were sitting in your data:
DC Ordering Gaps -- Distribution center 6023 hasn't ordered your #2 SKU in two weeks. By the time stores run out and it shows up in your instock numbers, you've already lost 2-3 weeks of sales. That signal was in your order forecast file on Sunday. Nobody looked.
Instock Drops on Key Items -- Your overall instock is 94%. Looks fine on the surface. But three of your top-10 items dropped below 80% this week. The average masked the problem. Your buyer sees item-level data in Luminate. They already know.
Forecast Misalignment -- Your demand forecast shows 50,000 units, but actual orders are tracking at 32,000. That's a 36% gap. Either the forecast is wrong and you'll get blamed for excess inventory, or orders aren't being placed and you'll get blamed for out-of-stocks. You need to know now, not next Wednesday.
Ghost Inventory -- Store 4521 has been showing 24 units of your product for 9 consecutive weeks with zero sales. That inventory isn't real. It's sitting in a back room, miscounted, or damaged. It inflates your instock number while customers can't actually buy your product.
Your Buyer Already Has This Data
Most suppliers don't think about this: your Walmart buyer has Luminate. They've got real-time POS data. They see trends across your entire category, not just your brand.
When you walk into that meeting with a spreadsheet you built on Tuesday from last week's data, you're already behind. They know your instock dropped. They see which items are trending down.
The question they're asking isn't "what happened?" It's "what are you doing about it?"
The Suppliers Who Win
The suppliers winning at Walmart in 2026 aren't the ones with the best spreadsheet skills. They're the ones who see the data sooner, spot exceptions faster, and show up to buyer meetings with answers instead of excuses.
They know which DCs stopped ordering before stores run out. They know which items are losing distribution before the line review. They know where their forecast is diverging from reality before it becomes a fill rate problem.
They're not working harder. They're just seeing the data differently.
What Does Your Monday Morning Look Like?
If your team is still spending hours every week turning raw Scintilla files into something usable, stop.
We built SupplySense to solve exactly this. Upload your 14 weekly files -- or let us pull them automatically -- and within seconds you have the full picture: sales trends, instock analysis, DC ordering gaps, forecast exceptions, ghost inventory detection, and buyer-ready reports.
No pivot tables. No reformatting. No stale data by Thursday.
Your Monday morning should start with answers, not Excel files.
SupplySense is built in Bentonville by people who've lived the Walmart supplier experience. If you're spending more time preparing data than acting on it, let's talk.