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Robotics for Order Accuracy: How to Cut Mis-picks Without Slowing Shipping

Robotics for Order Accuracy: How to Cut Mis-picks Without Slowing Shipping

  • Autonomous Robots

Robotics for Order Accuracy: How to Cut Mis-picks Without Slowing Shipping

Nothing wrecks a fulfillment day like a simple mis-pick. The customer gets the wrong item, your inbox fills up, and you pay for shipping twice while you apologize once. The worst part is that the mistake usually begins as a tiny slip at the shelf, not a major breakdown in planning.

That is why robotics for order accuracy is showing up in serious operator conversations. It is not about chasing shiny gadgets, it is about reducing the number of times your team has to fix yesterday's mistakes. When accuracy improves, shipping gets easier because you spend less time doing rework and more time moving fresh orders.

Accuracy is where costs hide in plain sight

Speed is easy to celebrate because it is visible, and it is fun to watch lines per hour go up. Accuracy is quieter, but it is where the money leaks out when things go wrong. A mis-pick triggers a chain reaction that includes reships, refunds, returns handling, inventory distortion, and the slow drip of customer churn.

Connor Perkins, Director of Fulfillment at G10 Fulfillment, hears the same story from brands switching providers: "One of the pain points our clients have experienced with previous 3PLs is inventory accuracy; maybe their previous 3PL wasn't great at picking the orders accurately. So they were losing money by shipping wrong items or wrong quantities of items." When you hear that, you are not looking at a few bad days, you are looking at a process that makes errors too easy.

Manual picking breaks first under pressure

Manual picking is not inherently sloppy, and it can work well when volume is steady and the SKU mix is simple. The problem is that manual systems are fragile when conditions change, especially during peak or when a product goes viral. The more walking, the more interruptions, and the more exceptions, the harder it becomes for a person to maintain perfect focus hour after hour.

Errors also cluster at the end of a shift, when fatigue is highest and the pace is still demanding. Holly Woods, Director of Operations at G10 Fulfillment, explains the physical strain behind the numbers: "The robots are allowing efficiency with pick paths. They're lowering fatigue on employees." If fatigue drops, accuracy usually rises because people have more attention left for the details that prevent mis-picks.

Robots reduce mistakes by removing wasted motion

Robots do not improve accuracy because they are smarter than people. They improve accuracy because they change the work so people can be better at their jobs. When a picker spends less time walking and searching, they spend more time confirming the right item, the right quantity, and the right bin.

Woods describes the performance impact operators care about: "We've seen great efficiency gains in picks per line or lines per hour. Sometimes 3X the amount of efficiency there, with the lines that we're able to pick and produce into our pack stations per hour." Higher throughput can actually support accuracy when it comes from better flow, because the operation becomes less chaotic and less rushed in the wrong places.

Scanning turns accuracy into a system, not a hope

The biggest accuracy gains rarely come from a pep talk. They come from a scan-based workflow where the system forces validation at the right moments. If people can pick, pack, or move inventory without a scan, the operation is relying on memory and good intentions, and that is not a stable plan at scale.

Perkins puts it in plain language: "You want everything to be scanned in the warehouse, nothing done on paper." Paper and manual workarounds create gaps between what your system believes and what is actually on the shelf. Those gaps turn into oversells, backorders, and the dreaded moment when a customer asks for tracking on an item you cannot physically find.

WMS visibility is the backbone behind robotics

If robotics are the muscles, the warehouse management system is the nervous system. Robots can move carts efficiently, but accuracy depends on whether the system knows where inventory is, who touched it, and what changed at each step. Without strong visibility, you can move the wrong item faster, which is not progress.

Bryan Wright, CTO and COO at G10 Fulfillment, explains why true accuracy requires full transaction tracking: "A good WMS tracks inventory through the warehouse at every point that you touch it." That depth matters because it makes inventory real, not aspirational, and it limits the number of places a unit can disappear.

Wright describes what that visibility looks like when it is done correctly: "It shows the product landed on the dock at 8 o'clock. At 8:10, John picked it up and took it to location XYZ, and at 10 o'clock, we picked two items off of that pallet." When you can reconstruct the story of a unit, you can find the failure point quickly and fix the process, instead of guessing and hoping the problem stops repeating.

Accuracy metrics that protect your customer experience

Order accuracy is not one number, and it is not a dashboard trophy. It is a series of checkpoints that keep mistakes from reaching the customer. Inventory accuracy keeps stock counts honest, pick accuracy keeps the right item in the tote, pack accuracy keeps the right item in the box, and ship accuracy keeps the right label on the right carton.

Joel Malmquist, VP of Customer Experience at G10 Fulfillment, ties this to the outcome merchants actually feel: "We have over 99.9% ship accuracy of these orders." That kind of performance is not the result of luck or heroics. It is the result of scan discipline, clear exception handling, and a workflow designed to reduce guesswork.

Where robotics help accuracy the most

Robotics tend to improve accuracy fastest in high-volume, repeatable picking where travel time is a big slice of the day. When robots keep carts moving and pickers stay in tighter zones, the operation becomes more consistent. Consistency is an accuracy engine because it makes it easier to notice when something is out of place.

Maureen Milligan, Director of Operations and Projects at G10 Fulfillment, connects new tools to operational outcomes: "We've seen fabulous results, a huge increase in productivity." Productivity is not a separate goal from accuracy when the gains come from cleaner flow. When orders arrive at pack stations in a steadier rhythm, verification becomes easier and the work feels less like triage.

Robots do not fix broken fundamentals

There is a version of automation that is just expensive theater. If your item master is messy, slotting is inconsistent, or inbound is unreliable, robotics will not save you. You will simply move chaos around faster, and your accuracy problems will come back wearing a different hat.

That is why accuracy projects should start with basic discipline. Perkins warns about the financial downside of sloppy handling: "You can lose a lot of money in this industry by you know having people ship stuff wrong, or store it wrong, and now it's lost somewhere." Robots support discipline best when the process already demands scans, maintains locations, and treats exceptions as urgent, not optional.

How to evaluate robotics for your accuracy goals

The right question is not whether robots are good or bad. The right question is where your operation is losing accuracy today, and whether the root cause is travel, fatigue, training, or weak validation. If your errors come from confusing SKU labeling or poor slotting, a robot will not solve that by itself.

Robotics becomes a strong fit when you have volume, repeatable pick patterns, and a scan-based culture that is ready to scale. When mis-picks spike during peak, or when walking time is eating half the shift, robots can reduce stress on the system. The goal is fewer decision points, fewer opportunities for distraction, and more consistent execution.

How G10 helps you cut mis-picks and keep shipping fast

G10 approaches order accuracy as a system, not a slogan. That system combines scan-based workflows, strong visibility, and robotics that reduce wasted motion so people can focus on correct picks. Wright describes the advantage in practical terms: "We have better visibility to transactions. We are constantly upgrading technology and making it faster, more scalable. We have an ability to configure our system to the customer very quickly."

If you are tired of paying for mistakes twice, it is worth looking at your pick paths, your scan discipline, and your visibility into inventory movement. Talk with G10 about your SKU profile, your order mix, and your accuracy pain points, and you will leave with a realistic plan to cut mis-picks without slowing shipping.

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