Four Hands was drowning in their own success. The Texas-based furniture wholesaler had six warehouses constantly shuffling inventory, but every truck transfer required up to 13 people spending two hours hand-loading everything from pillows to marble coffee tables.
The process was brutal, expensive, and getting worse as they grew.
Then they discovered SlipRobotics at a trade show. Six months later, they went from 13-person loading crews to single-person, 5-minute truck loads using autonomous robots that required no Wi-Fi, no system integrations, and no facility modifications. Slip deployed 15 robots across multiple facilities, increasing throughput by 4x.
This case study breaks down exactly how they identified, evaluated, and implemented drop-in robots without ripping apart their existing workflows.
Let’s dive in.
What’s Inside
The Scene → Growth meant more complexity, not more profit
The Discovery → A chance encounter at MODEX changed everything
The Fix → Drop-in automation that worked with existing workflows
The Implementation → Six months from first contact to full deployment
The Results → Massive labor savings and operational improvements
The Playbook → What you can learn from this project
Full Q&A → With Mason Cole from SlipRobotics
Growth meant more complexity, not more profit
Four Hands operated as a furniture wholesaler with a sprawling network of facilities across Texas. They ran two storefronts - one in Vegas and one in Austin - but their real challenge was in the back end: a series of warehouses in Austin and Butte that required constant shuffling of inventory.
The company handled everything from five-pound pillows to 200-pound marble coffee tables. Nothing was palletized, and the product mix made traditional automation nearly impossible. At any given facility, they stored inventory in racks or on the floor, then moved it between locations based on demand.
"Warehouse transfers typically require up to 13 people using dolly trucks to load products in and out of trucks, taking 90 minutes to two hours."
The process was labor-intensive and inefficient. Workers would use high-bay pickers with attached carts to pull product from racks, bring it to shipping lanes, and build queues on the floor. Then teams of up to 13 people would hand-load everything into trucks using dollies - a process that took up to two hours per truck.
They knew they needed to automate but didn't know where to start. Most solutions required the kind of product consistency they simply didn't have.
A chance encounter at MODEX changed everything
Four Hands attended MODEX 2024 looking for automation solutions. They stopped by SlipRobotics' booth but didn't even get scanned as an attendee. The following week, they reached out through the website.
The timing was perfect. Four Hands was in the middle of an ERP change, which would have delayed any integration-heavy solution until 2026. SlipRobotics offered something different: no infrastructure requirements, no system integrations, and no Wi-Fi network needed.
"With the ERP change coming, they told us they want to be ready by 2026 rather than having to integrate with current systems now."
SlipRobotics' approach was to demonstrate first, then deploy. They offered a free onsite demo using the actual workflow, showing exactly how the robots would fit into Four Hands' existing process.
Drop-in automation that worked with existing workflows
The beauty of SlipRobotics' solution was its simplicity. Instead of requiring Four Hands to redesign their entire operation, the robots slotted directly into their current process.
The new workflow:
High-bay pickers pulled product from racks using carts
Instead of offloading to the floor, they loaded directly onto SlipBots
The robots moved into trucks and traveled to destination facilities
At receiving locations, robots unloaded and product was accessed from all four sides
This eliminated the need for 13 people to spend up to two hours hand-loading each truck. Now one person could load an entire truck in five minutes.
"Instead of 13 people spending 90 minutes to two hours loading a truck, you now have one person who can load that entire truck in five minutes."
Six months from first contact to full deployment
SlipRobotics' implementation timeline was remarkably fast compared to traditional automation projects:
Month 1-2: Initial contact and demo
Month 3-4: Contract negotiation and purchase order
Month 5-6: Manufacturing and delivery
Week 1: Installation and training
The entire training process took less than one week. Workers learned to operate the robots using simple, intuitive controls.
"It's almost like a Nintendo Switch controller. So it's very easy to use. It's very intuitive."
No changes were needed to Four Hands facility or technology to enable the enhanced dock throughput.
The only changes made were to the SlipBots themselves.
Slip worked with Four Hands to develop new edge extensions that are suited for floor loaded material and protect shins while people are stepping on and off of the bot.
Massive labor savings and operational improvements
The impact was immediate and measurable. Four Hands eliminated the need for 10-13 people per truck loading operation and reduced loading time from 90-120 minutes to as fast as 5 minutes.
Labor cost savings: The company saved significant money by eliminating contract labor costs. Loading trucks in Texas warehouses, especially during 100+ degree weather, had high turnover and required constant recruitment of workers.
Improved truck utilization: Faster loading and unloading meant trucks could complete more runs per day, improving overall fleet efficiency without requiring additional vehicles.
Better working conditions: Workers no longer had to manually handle heavy furniture in extreme heat, leading to better safety outcomes and reduced turnover.
Scalability without complexity: The solution grew with Four Hands' network. As they expanded or consolidated facilities, the robots simply moved with their operations.
This translates to:
75% faster unloading
50% faster loading
50% reduction in product touches
50% reduction in nighttime contract labor
Immediate ROI within the first week
The economic model worked because it addressed multiple pain points simultaneously: labor costs, truck efficiency, safety, and scalability. For Four Hands, it meant they could continue growing their network without proportionally increasing their operational complexity.
How You Can Replicate FourHands’ Success
If you're still loading trucks by hand and your team is spending more than 30 minutes per load - you're probably sitting on one of the most fixable inefficiencies in your warehouse.
Here’s how to diagnose it, plan around it, and install a drop-in solution with minimal downtime - just like Four Hands did.
1. Pinpoint where labor is being burned - and what it’s costing you
Before jumping into automation, isolate your most expensive labor choke points.
At Four Hands, it wasn’t putaway, picking, or receiving. It was transfers: 13-person teams loading trucks with dollies for 90 - 120 minutes per trip.
The signs were obvious in hindsight:
Picking was constantly interrupted to help with loading
Loading roles were filled by temps with high turnover
Truck wait times were stretching their transfer schedule
They couldn’t scale throughput without hiring more people
How to diagnose your own case:
Pull historical shift data: How many people are assigned to truck loading? What’s their hourly rate?
Map task-level time per truck: How long does each truck take to load, from first touch to door close?
Interview your floor leads: Ask where people are regularly pulled in to “help” and what gets skipped when volumes spike.
Check rework data: Frequent damage, misloads, or delayed transfers are all signs that labor is being stretched thin.
If loading time is variable, relies on too many hands, or regularly bottlenecks your outbound workflow, it's ripe for automation.
2. Build a ground-truth workflow map - not just averages
Automation breaks when you design for averages. Four Hands didn’t have an average load. They had everything from a 5-pound pillow to a 200-pound marble table - none of it palletized.
That’s why most traditional systems failed. They were built around standard cartons and conveyors. Slip succeeded because it could handle the full range without requiring changes to SKUs, packaging, or pick flow.
What to include in your workflow map:
Volume variability: Peak vs. off-peak days. # of transfers and average load size.
Product dimensional range: Min/max dimensions, weight classes, and fragility. Include the weirdest items - those are your automation constraints.
Touchpoints per load: Who handles the product, when, with what equipment?
Queueing logic: Where do items go before they hit the truck? Do you stage on the floor? Racks? Conveyor lanes?
Loading order rules: Do you need to reverse load by delivery stop? Match to BOLs? These nuances impact compatibility.
Without this, vendors will assume your operation is cleaner than it is - and the solution you buy won’t work when it lands.
3. Test with your worst products, not your best process
The only reason Four Hands moved quickly was because Slip Robotics proved the bots could handle their worst-case workflow - not just ideal conditions.
That meant:
Running the exact picker + cart setup already in use
Using their heaviest, bulkiest, least-automatable products
Timing a full load/unload cycle using their operators
What to ask for in a serious pilot:
Onsite demo using your team, your products, and your trucks
Hands-on trial: Not a video. Not at their HQ. At your site, with your pain.
Process benchmarking: Time every step and compare it to your current workflow
Failure mode testing: What happens if a box tips? A battery dies? The trailer is late?
Your goal isn’t to validate the robot. It’s to validate fit. What matters is how well it slots into your specific chaos, without needing rewrites or tech lifts.
4. Design for zero downtime during rollout
Most automation fails not because it’s bad - but because it’s disruptive.
Four Hands pulled this off in one week because Slip required:
No integration to their WMS or ERP (which was mid-upgrade)
No Wi-Fi network or facility changes
No downtime to retrain the floor
What to plan for:
Workflow toggling: Can you run the new system side-by-side with the old one until it stabilizes?
Role clarity: What changes for pickers? Who handles the bots? When do old processes get sunset?
Training tools: Is the control interface intuitive enough for seasonal or non-technical workers?
System redundancy: If a bot fails mid-transfer, can you recover without losing the shift?
Every day of downtime is a loss. Design your deployment so you can switch on the new system without switching off the old one - at least not right away.
5. Model full-role elimination - not just efficiency gains
Most “automation” just makes someone’s job 20% faster. That’s hard to measure, and even harder to staff around.
Four Hands did better: they eliminated 50% of their contract labor. One operator, five minutes, zero loss in quality or output.
That’s real savings.
How to do the math:
Count headcount removed per load - not just time saved
Multiply by trucks per week, then by wage + benefits + overtime
Add training/recruiting costs for temp labor turnover
Model truck utilization gain - how many more turns per day, and whether that offsets fleet expansion
Also factor in indirect savings:
Reduced damage claims
Fewer worker comp incidents
Lower burnout and absenteeism
If your model doesn’t reduce roles or trucks, the ROI may not justify the effort. Aim for hard cuts, not soft gains.
6. Use service models to bypass CapEx delays
Four Hands didn’t buy robots - they leased them. That turned the conversation from “big capital investment” to “monthly operating expense.”
It also let them scale up or down without being locked into hardware decisions.
What to evaluate:
Break-even point: Compare leasing costs vs. the labor you’re replacing
Flex clauses: Can you return or rotate units if volumes shift?
Support SLAs: Uptime guarantees, maintenance response times, swap policies
Upgrade paths: Will newer models be available? Do you pay for them?
Service models aren’t always cheaper long-term, but they’re faster to start and easier to get approved - especially if you're growing fast or managing multiple sites.
Q&A With Mason Cole
If you want to go deeper on this project, here's the full conversation I had with Mason Cole, Head of Sales & Solutions at SlipRobotics.
We cover the entire journey - from how Four Hands Furniture went from 13 people hand-loading trucks for 2 hours to one person loading in 5 minutes, to the tactical decisions around solution design, rollout timing, and measuring ROI that made it happen.
It's a detailed look at what it really takes to implement robotics automation successfully, without massive system overhauls or lengthy integration projects.
Table of Contents:
Understanding the Problem
Finding the Right Fit
Rolling It Out In A Week
Measuring ROI
Making the Economics Work
Advice for Operators
This conversation has been edited for length and clarity.
1. Understanding the Problem
Can you describe Four Hands' operations and what made them a good fit for automation?
Mason Cole: Four Hands is a furniture wholesaler that partners with manufacturers and operates through a network of warehouses and storefronts. They have two storefronts - one in Vegas and one in Austin - plus a series of warehouses in Austin and Buda, Texas.
The key thing about their operation is that it's a constant shuffle of product between facilities. They're moving everything from a five-pound pillow all the way up to a 200-pound marble coffee table. Nothing is palletized, which makes automation really challenging.
Warehouse transfers typically required up to 13 people using dolly trucks to load products in and out of trucks, taking 90 minutes to two hours. With that wide variety of product sizes and weights, you need consistency to make automation efficient.
How did Four Hands find you, and what was their decision-making process?
Mason Cole: They saw us at MODEX 2024 and reached out through our website the following week. When they described their operation, it was a perfect use case for what we do.
A key factor was timing. With the ERP change coming, they told us they want to be ready by 2026 rather than having to integrate with current systems now. Since we don't require system integration, they could implement immediately.
2. Finding the Right Fit
What did their workflow look like before Slip Robotics, and how did you slot into their existing process?
Mason Cole: High-bay pickers would pull product onto carts, bring it to shipping lanes, and offload everything to the floor. Then 13 people would hand-load everything into trucks using dolly trucks. The receiving side was the same in reverse.
We slotted in almost exactly with their current process. Instead of putting picked products on the floor, we become the floor - they put it directly onto the bot.
Why did they need that intermediate step of unloading onto the floor instead of loading directly into trucks?
Mason Cole: It's about efficiency and availability. You want pickers picking continuously - that's higher-paid labor on expensive equipment. Loading labor has high turnover, especially in 100-degree Texas heat, so they use temp workers.
Plus trucks aren't always available. If you want on-demand availability, your fleet gets bigger and more expensive. It's a combination of labor utilization and truck availability.
How do you determine how many robots a facility needs?
Mason Cole: We look at transfer frequency, volume, trucks per day, product mix, and timing. For Four Hands with six facilities, we modeled flow between locations. Since robots travel with trucks, you need enough units for peak periods while ensuring availability at each location.
It's about modeling a dynamic network where robots constantly move between nodes - finding the sweet spot for peak demand without idle units.
Do you see customization requirements when implementing your solution?
Mason Cole: While we're a drop-in solution, we make minor tweaks based on specific products. People ship all sorts of things, so we need small adjustments for specific dimensions or handling requirements. The core functionality stays the same.
3. Rolling It Out In A Week
What was your implementation timeline from first contact to full deployment?
Mason Cole: We had the initial conversation in spring 2024, did an on-site demo quickly after, and they were fully operational within a few months.
We do free on-site demos because we don't require setup, IT integration, Wi-Fi, or infrastructure modifications.
The actual deployment was about a week.
That might sound crazy compared to other automation projects that take six months to a year, but that's the advantage of being a drop-in solution. We're not changing their fundamental processes or requiring major infrastructure modifications.
What does training look like for the operators?
Mason Cole: The training is surprisingly simple. The interface is very intuitive - people compare it to a Nintendo Switch. It's designed so that anyone can pick it up and start using it without extensive technical training.
We focus on two main groups:
The operators who are doing the picking
The folks handling the loading and unloading
The whole training process is usually wrapped up within that same week of deployment. The system is designed to be user-friendly because we know that complex interfaces lead to adoption problems.
4. Measuring ROI
What are the biggest ROI drivers you typically see with installations like this?
Mason Cole: Three major areas:
Labor Reduction: Instead of 13 people spending 90 minutes to two hours loading a truck, you now have one person who can load that entire truck in five minutes.
Truck Utilization: Loading in five minutes versus two hours dramatically improves fleet efficiency - fewer trucks needed, more runs per truck.
Safety and Damage Reduction: Eliminates manual handling of heavy furniture, reducing workplace injuries and product damage.
Secondary effects include redeploying freed-up labor to higher-value activities and reducing transportation costs.
Can you share any specific numbers from the Four Hands implementation?
Mason Cole: I can't share their exact numbers, but I can tell you that most customers see payback periods of 12 to 18 months. The labor savings alone typically justify the investment, and everything else - the truck efficiency, damage reduction, safety improvements - is essentially bonus ROI.
There's also sustainability benefits - reducing trailer usage and forklift traffic while unlocking efficiencies across the operation.
5. Making the Economics Work
How does your business model work?
Mason Cole: We offer purchase and lease options, but most customers lease for better cash flow. CapEx is challenging - nobody wants large upfront costs when ROI is uncertain.
With leasing, customers see immediate benefits while spreading costs over time. Monthly payments are typically offset by labor savings alone, making it cash flow positive from day one. We structure financing to match each customer's specific situation.
6. Advice for Operators
What insights do you have for other companies considering similar automation projects?
Mason Cole: You don't need massive, complex automation projects for significant ROI. Sometimes the best solution works with existing processes rather than forcing complete redesign.
Companies think they need to do everything at once - new WMS, conveyors, everything. But you can get 80% of the benefit with 20% of the complexity by finding the right point solution for your biggest pain point.
For Four Hands, truck loading was their biggest bottleneck. By solving that one problem well, we eliminated their labor crunch and improved their whole operation without ripping and replacing their entire system.
What triggers should companies look for that indicate they're ready for this type of solution?
Mason Cole: There are several clear indicators:
Labor Challenges: Using lots of manual labor for truck loading/unloading, especially with high turnover.
Truck Utilization Constraints: Spending two hours loading trucks that could make another run.
Product Variety: Wide variety of sizes and weights that make traditional automation challenging.
Timing Flexibility: The other thing I'd say is don't wait for the perfect moment.Four Hands implemented during an ERP change because we don't require integration. Sometimes the best time is when people are already adapting to new processes.
