Hai Robotics hits 99%+ accuracy

Warehouse robotics lives or dies on boring numbers. Not demos. Not robot videos. The real test is whether a system can keep picks accurate when thousands of different products are moving through a live fulfillment operation all day. Hai Robotics is making that exact claim now — saying its deployed systems are running above 99% pick accuracy in customer warehouses, with one showcased installation handling more than 6,500 SKUs. (hairobotics.com) ### What is Hai Robotics actually selling? Hai builds goods-to-person warehouse systems. Basically, robots go fetch totes or cartons from storage and bring them to a workstation, instead of making people walk the aisles hunting for items. The company pitches this as a flexible version of automated storage and retrieval — dense storage, less walking, faster fulfillment, and fewer manual touches where errors usually creep in. (hairobotics.com) ### Why is 99% accuracy a big deal? Because picking is where warehouses bleed money in quiet ways. A 1% error rate sounds small, but in a high-volume operation it means the wrong item shipped, a return created, customer service touched, and often a second shipment sent. Hai says its workstations and deployed systems can keep order-pick accuracy above 99%, which is the kind of threshold operators care about because it s(hairobotics.com)to an exception. (hairobotics.com) ### Why does the SKU count matter? A warehouse with a few hundred similar items is one problem. A warehouse with 6,500 different SKUs is a much harder one. More SKUs mean more slotting complexity, more chances to grab the wrong tote, and more weird edge cases in replenishment and picking. That is why Hai keeps pairing the accuracy claim with SKU depth — the company wants to show the system is (hairobotics.com)alog. (hairobotics.com) ### Which site is this based on? The most concrete case tied to those numbers is Mettler Toledo’s logistics operation with Arvato, highlighted by Hai in a recent case page and video. Hai says that installation achieved 99%+ order-pick accuracy while supporting 6,500+ SKUs, and also lifted storage capacity by more than 300% while cutting labor costs by 75%. Those are company-provided figures, but they give the claim a named customer and a real operating setting. (hairobotics.com) ### Is this just one cherry-picked example? Not entirely, but that is the catch. Hai’s broader marketing pages also describe 99%+ accuracy as a standard performance level for its HaiPick systems, and other customer stories — like GIGABYTE’s Los Angeles fulfillment center — use similar language. But the 6,500-SKU detail appears tied to a specific deployment, not a universal benchmark across every site. (hairobotics.com) ### Why does this matter right now? Warehouses are under pressure from two sides at once — labor is expensive, and order profiles keep getting messier as e-commerce and omnichannel retail add more SKUs and smaller picks. That is exactly where automation vendors are trying to prove value. If Hai can show high accuracy at meaningful SKU depth, it strengthens the case that goods-to-person systems(hairobotics.com)omplexity without a spike in mistakes. (hairobotics.com) ### How should you read the claim? As a useful signal, not a universal law. The interesting part is not “99%” by itself — lots of vendors can print a clean percentage on a brochure. The interesting part is “99%+ in a live named warehouse with 6,500+ SKUs.” That is a more serious claim. It suggests Hai is moving the conversation from robot capability to production proof. (hairobotics.com)storage-haipick-climb)) ### Bottom line? Hai Robotics is trying to win on a very practical argument: dense storage is nice, but accuracy under SKU complexity is what makes automation stick. If those customer-site numbers hold up broadly, that is the part warehouse operators will remember. (hairobotics.com)