Verify Deliveries in Minutes, Not Hours

For online retailers receiving regular shipments from manufacturers, verifying deliveries is a critical but time-consuming bottleneck. When a pallet arrives with 40-50 boxes, manually counting every item takes 20-30 minutes. That's wasted time when staff could be processing orders or helping customers.

Manual counting creates its own problems. Count 50 boxes by hand and you're likely to miscount. Miss three boxes and you won't discover the shortage until days later when you go to fulfill orders. By then, the driver is long gone and disputing the shortage becomes a nightmare of paperwork and finger-pointing.

Paper receiving logs compound the frustration. Staff scribble box counts on clipboards, often making errors or forgetting to record critical details. When discrepancies appear later, there's no reliable documentation to support your claim with the supplier.

Meanwhile, every missed item costs real money. If you ordered 40 boxes but only received 37, that's three boxes of product you've paid for but can't sell. Multiply this across weekly deliveries and the losses add up quickly. You need a verification system that's fast, accurate, and creates indisputable documentation.

DataScan turns any iPhone or iPad into a professional receiving verification system. When the delivery truck arrives, simply scan the barcode on each box using Continuous Scan mode. For a typical 40-box pallet, scanning takes just 2-3 minutes instead of 20+ minutes of manual counting.

Continuous Scan mode handles rapid verification effortlessly. No button presses between scans, no delays - just point at each box barcode and move on. The app captures every scan with a timestamp, creating an indisputable record of exactly what was delivered and when.

Verification happens while the driver is still present. Import your purchase order into DataScan beforehand and use Lookup Scan mode: each box is checked against the expected list the instant it's scanned, with an immediate match or no-match result. Or export your scan results to Excel in seconds, open your purchase order spreadsheet, and compare the two lists side by side. Either way, discrepancies jump out immediately - missing box numbers, quantity differences, or unexpected items.

When you find a shortage, the driver is still there to address it. Either they locate the missing boxes on the truck, or you document the shortage with precise scan records showing exactly what arrived. Your supplier receives professional documentation showing the specific barcodes scanned, quantities verified, and timestamp of delivery - making disputes clear-cut instead of contentious.

Sarah Chen runs GreenLeaf Garden Supplies, an online retailer specializing in gardening equipment and supplies. She receives weekly shipments from manufacturers in China - typically two pallets with 35-50 boxes each. Every delivery represents $8,000-12,000 in inventory that needs accurate verification.

Before DataScan, Sarah's receiving process was frustrating and error-prone. Staff would manually count boxes as they came off the truck, writing tallies on clipboards. With 70-100 boxes per delivery, counting took 45 minutes. Even then, mistakes happened - staff would lose count, misread box labels, or forget to record certain items.

Discrepancies appeared days later during inventory. Sarah would discover she ordered 40 units of a popular plant fertilizer but only had 37 in stock. With no reliable documentation from receiving, disputing shortages with suppliers became contentious. The supplier would claim they sent everything, Sarah's team was certain they didn't receive it, and without proof, resolution dragged on for weeks.

Now, when deliveries arrive, Sarah's warehouse manager Marcus positions himself with an iPad running DataScan. As the driver unloads boxes, Marcus scans each barcode in continuous scan mode. For a typical 80-box delivery, scanning takes just 8 minutes. The app records every box number and timestamp automatically.

As soon as unloading finishes, Marcus exports the scan results to Excel. He opens the purchase order spreadsheet on his laptop and compares the two lists. Last week, he immediately spotted that three boxes of a specific product were missing - boxes numbered 847, 848, and 849 appeared on the PO but not in the scan results. Marcus showed the driver, who found the three boxes still on the truck behind other pallets. Crisis prevented, product received, customer orders fulfilled on time.