Automation Decisions: Why Commercial Decision Engines Matter at the Earliest Stage of the Buying Journey
Most automation projects don’t fail because the technology doesn’t work. They stall because the commercial case never solidifies.
By the time someone calls a system integrator, the real automation decisions have often already been made. Budget ceilings are loosely defined. ROI expectations are floating around in a spreadsheet. Internal stakeholders have opinions. Some are optimistic, and some are skeptical as the journey takes shape before a vendor ever enters the room.
As Christoph Buchmann, Founder and Managing Director of iAutomate, puts it, “Where does the buying journey begin? I would actually say it really starts with having identified a problem statement and understanding that warehouse automation is potentially a viable solution.”
That’s the part many solution providers miss.
The Buying Journey Starts Earlier Than You Think
There’s a persistent belief in automation sales that the journey begins when a prospect reaches out. It doesn’t. “Once the customer is talking to a solution provider, the journey has already started,” Christoph explains. “It started long before that. That’s just the first point of contact where this future project starts to materialize a little bit.” He adds, “The earliest stage of the buying journey is where commercial outcomes are determined.”
Labor volatility. Throughput ceilings. Space constraints. Error rates are creeping up. As Mert Selcuk, Director of Supply Chain Strategy, Solutions Design, and Engineering at Staples Canada, says, “We identify a problem gap or an opportunity, right? Repeatable behavior, automatable behaviors, automatable processes.”
That exploration phase can last months. “This is, we’re talking about a couple of months out before we even reach out to a vendor,” Mert notes.
During that time, the commercial foundation is built and/or guessed.
The Structural Gap in Early-Stage Automation Decisions
Here’s the core issue: buyers expect to justify large capital investments before they have reliable numbers. Christoph adds, “Without data, you’re just another person with an opinion.”
They need directional cost ranges. Throughput impact. Labor displacement assumptions. Payback timelines. But they don’t want to engage five vendors just to get ballpark figures. Christoph describes it clearly: “They’re not looking for a firm proposal. They need to bring it down from 50,000 feet to 5,000 feet to qualify the business case.” And they don’t want to waste time. “They don’t want to engage and talk to five different vendors and spend too much time sitting on their thumbs waiting for information.”
Yet that’s often what happens. Mert captures the frustration: “You reach out to an automation vendor, you wait a couple of weeks… you’re just waiting for four weeks just to get a number for you to plug this model that’s already there.” By then, internal momentum cools. Finance loses interest. Competing projects gain traction.
The irony is that by the time you invite vendors into a formal conversation, the buyer may be married to early assumptions. “By the time we get in front of an automation vendor, we get to say, ‘we are looking for a system,’ rather than ‘tell me what’s right for me.’”
At that point, you’re competing inside someone else’s spreadsheet. And suppliers feel the downstream effect. Rainer Buchmann, CEO of Dynamics Plus, puts it this way: “The worst you have as a supplier is to waste your energy on projects that are finally shelved.”
When early commercial validation is weak, projects stall late. Engineering hours get spent on deals that were never financially viable to begin with.
Enter Commercial Decision Engines
Buyers don’t need full proposals. They need directional clarity and transparency. They need to walk into an internal meeting and say, as Mert describes, “Hey guys, it’s gonna directionally cost this much, the return is this much.”
Tools like the Kardex StoreX illustrate what this looks like in practice. By allowing users to input SKU counts and order data, visualize a 3D system layout, optimize operator counts, and estimate ROI before any commitment, it shifts the conversation from speculation to structured analysis. It gives operational leaders something concrete to defend.
Similarly, the iAutomate Configurator lets end users explore warehouse automation and robotics solutions independently. It provides instant outputs on design, performance, investment, and ROI, not as a final proposal, but as a qualified starting point.
For buyers, that means confidence before engagement. For solution providers, it means entering a conversation with a business case that has a logical foundation rather than guesswork.
Technology Without Commercial Discipline Is Risky
There’s another layer here. Early-stage commercial modeling also forces process discipline. “If you automate a bad process, you’ve still got a bad process. Just a very expensive one,” Christoph warns.
Commercial decision engines don’t just spit out ROI numbers. When built properly, they force assumptions into the open. Throughput. Labor mix. Error rates. Space utilization. They expose weak processes before automation locks them in for the next two decades. And that time horizon matters. “While the transaction is a one-time thing, that customer’s investing 20 years into the infrastructure of their supply chain,” Christoph reminds us.
Rainer adds the longer view: “Integrated automation is a journey. The project does not stop when you’ve delivered it, so be careful who you select as your partner.” Early commercial clarity supports better long-term partnerships. It filters out projects that shouldn’t proceed. It strengthens the ones that should.
Where Automation Decisions Actually Get Won
In early-stage automation decisions, opinions dominate because the tools for structured data are missing. Finance has one view. Operations has another. Vendors enter later with a third. Commercial decision engines like Kardex StoreX and the iAutomate Configurator bring shared math to the table earlier. They don’t eliminate debate. But they anchor it.
That matters now more than ever. Capital scrutiny is tighter. Labor markets remain unstable. Throughput expectations keep rising. If solution providers want to compete effectively, they can’t afford to wait for an RFP to appear. And buyers can’t afford to build investment cases on rough benchmarks and hope.
To see how it works, contact iAutomate for a demo of their CPQ software at info@iautomate.app or https://www.iautomate.app
