Key takeaways
- Picker travel accounts for about half of order picking time in the published research, so that is where the hours sit.
- Fixed aisles and repeatable pallet moves give autonomous forklifts predictable routes to run.
- Savings come from shorter walks, faster putaway and steadier shifts, with staff kept on work that needs judgment.
- Published figures for spare parts warehouses are scarce, so treat the numbers here as general warehouse evidence.
- The first step is a free site assessment, then a quote with the lease set through financing.
How can autonomous forklifts for spare parts warehouses help?
Autonomous forklifts for spare parts warehouses take over the repetitive pallet moves and long walks that keep urgent orders waiting. A counter waiting on one bearing or valve is often not waiting on the part itself. It is waiting on someone to walk the aisle, find the location and bring the pallet or tote to the pick face.
The gain is most direct where storage is high volume, aisles are fixed and pallet moves repeat. A robot that runs the same routes every shift can carry replenishment, putaway and outbound staging while your people stay on pick accuracy, exceptions and customer calls. Most of the gain comes from consistency, because the robot takes the same route every time.
Published research on warehouse picking gives the scale of the problem. According to Elbert and Müller, in a 2017 Winter Simulation Conference paper, travel between storage positions accounts for 50 percent of overall order picking time. Figures for spare parts warehouses specifically are hard to find, so the numbers here come from general warehouse research.
What slows urgent parts orders down today?
Most spare parts warehouses still run on walking. A picker follows a list through long, narrow aisles, climbs to a location and returns to a staging point. Each trip is short, but across a shift the walking adds up, and an urgent order sits behind routine work.
Pallet moves add to the delay. Replenishment, putaway and staging pull a forklift driver away from picks, and the driver often waits for a free aisle or an open dock door. Research on warehouse labor points the same way: according to Burinskienė (2009), order picking consumes almost 50 percent of all warehouse labour activities.
The labor pool is not growing fast enough to make that time easy to replace. According to the U.S. Bureau of Labor Statistics Occupational Outlook Handbook, material moving machine operators held about 867,700 jobs in 2024, and employment for the group is projected to grow 1 percent from 2024 to 2034, slower than the average for all occupations. Adding people to the same walks is slow work, and it does not remove the walk.
What are the main benefits?
The benefits show up in three places: order cycle time, pallet flow and how staff spend their shifts. The points below are the ones operators tend to notice first.
- Shorter routes to the pick face, because the robot runs fixed paths between racking, staging and dock doors.
- Faster putaway and pick times. A 2021 press release on autonomous forklifts in North America credited faster pick and putaway times with a 20 percent efficiency increase.
- Reliability that holds across shifts. The same release reported 98 percent or better reliability for its reach trucks.
- Steadier shifts, since the robot takes the same route at the end of a shift as at the start.
- Staff time returned to picks that need judgment, receiving checks and customer work.

How does the robot work there day to day?
A typical day starts with the robot already mapped to your aisles and waiting at its charging point. Work usually arrives from the warehouse management system, so the robot knows which pallet to move and where it should go next.
Between tasks it follows fixed paths and stops at defined points, which keeps it predictable around people. If it meets something it does not expect, such as a blocked lane or a damaged pallet, it holds position and a person on the floor clears the issue. The schedule below shows how a shift usually unfolds.
Which areas of the warehouse does it work in?
The robot earns its place where moves repeat. It is not a general helper for every corner of the building, so the best sites usually start with the two or three routes that carry the most pallets.
The six areas below are where we see the most work for the robot. Each has its own job, and the site assessment decides which ones make sense for your building and in what order.
How does it work alongside your existing staff?
The robot does not replace the whole team. It takes the long, repetitive moves so a smaller crew can focus on picks that need judgment, receiving checks, packing and customer work. The team still runs the building, and the robot fills the gaps between their tasks.
According to a vendor case study of a 50 mobile robot deployment, 32 of 36 forklift operators were redeployed. That is one vendor's account, but it shows the pattern operators aim for, where people move to higher value work rather than leaving the building.
Plan for a robot plus a smaller team, with clear handoffs at the dock and at the ends of the aisles. Staff keep their skills, and the robot handles the moves that wear them out.
What drives the savings?

Savings come from hours, not from a single headline number. The largest pool of hours is usually walking in the pick process. According to Dukic and Oluić (2007), as cited in a university repository record, about half of order picking time is spent traveling, so shortening or removing that travel returns hours to picks.
Simulation results give a sense of the range. The same 2007 work reports that combined methods showed up to 80 percent travel distance reduction in simulation. That is a result for routing in a model, not a promise for any one building.
Vendor case studies report bigger swings, and those are harder to check. A vendor case study at a third-party logistics warehouse in Las Vegas reported a 33 percent productivity gain over an electric pallet jack. Another vendor case study reported throughput rising from 185 pallets per shift to 253 pallets per shift after 50 mobile robots were deployed, a deployment the vendor said took 16 weeks. Treat these as examples of what a deployment can look like, not a forecast for your site.
What can the robot not do?
The robot has limits, and a fair plan names them early. It runs fixed routes well and handles unexpected situations poorly. It cannot clear a blocked aisle, correct a bin that was labeled wrong, or decide whether a substitute part is acceptable to a customer.
It needs a mapped site that is kept reasonably tidy. Aisles that change every week, pallets stacked outside their lanes, loads above its rated capacity or floors in poor repair will slow it down and add manual work. A narrow or irregular dock may also need a layout change before the robot can run it cleanly.
It does not replace skilled picking. A part that is mislabeled, damaged or needs a second check still falls to a person. The robot shortens the walk, but a person still confirms what is on the pallet.
How do we get started?
For autonomous forklifts for spare parts warehouses, we start with a free site assessment. We map your aisles, dock doors, staging areas and charging space, then identify which routes carry enough volume to justify a robot. We pick the right robot for the site, which may mean starting with one leased unit on the busiest route before adding more.
The robot is leased through financing. The payment comes in the quote after the site assessment, so the numbers reflect your layout, your routes and the service coverage you need. Compare quotes on the terms each one states in writing, including whether maintenance is included in the plan.
We deploy and integrate the robot, train your staff and provide go live support. Service runs nationwide through remote triage and on-site dispatch, and we can discuss spare unit coverage in the quote so a single fault does not stop urgent orders.

Frequently asked questions
Want an autonomous forklift at your spare parts warehouse?
Tell us about your site. We will recommend the robot, quote the lease, and keep it serviced.
Sources
- U.S. Bureau of Labor Statistics, Occupational Outlook Handbook: Material Moving Machine Operators
- U.S. Bureau of Labor Statistics, Industries at a Glance: Warehousing and Storage
- Elbert and Müller, Winter Simulation Conference 2017 paper
- Dukic and Oluić (2007), university repository record
- Burinskienė (2009), publication record
- 2021 press release on autonomous forklifts in North America
- Vendor case study: 50 mobile robot deployment
- Vendor case study: third-party logistics warehouse, Las Vegas

