Tech Stack Success Is About How You Build, Not Just What You Deploy
Value increasingly comes from how signals, decisions, and execution are connected across the business.
Recently, a global retailer in our community completely restructured its signal-to-plan loop around real-time demand signals from stores and digital channels.
Sales, inventory, and external demand signals were unified into a single view. Decision logic – models and agent-based systems – operated in a single layer, triggering coordinated actions across planning and execution systems. The result? Supply and inventory decisions that update in near-real time – and +10% revenue growth.
At Zero100, we call this a PowerThread – an end-to-end, AI-enabled workflow that connects multiple functions into a continuous flow of sensing, deciding, and acting. And it exemplifies why the future of the tech stack is all about how you use tech, not what you deploy.
WHERE THE TRADITIONAL VIEW OF THE TECH STACK FALLS SHORT
We’ve spent the last 20 years evaluating technology by how well it standardizes and executes a single workflow. But that logic is now outdated.
Standardization creates rigidity amid fast-changing conditions, strips away unique data and workflows, and reduces your ability to make differentiated decisions when it really matters. And single workflows are an inaccurate view of how a supply chain really functions, which inhibits the ability to scale.
As technology is commoditized and capabilities converge, we found that 81% of C-level supply chain and operations leaders now see the tech stack as a foundation to build on rather than replace. The “what tech?” question still matters, but the “how” is only becoming more important. And it means the idea of a “target-state” tech stack no longer holds.
A NEW SET OF CRITERIA
As the question changes, so does the criteria for success. It’s no longer: how well does this system execute a workflow?
It becomes:
• How quickly does a signal change a decision?
• Where does the decision actually live?
• How coordinated is the response across functions?
• How easily can decision logic evolve?
• And critically, does this amplify what makes us different, or standardize it away?
These questions take us back to the PowerThread view of supply chain and operations. With value no longer created in a single workflow, the focus shifts to how AI helps a business respond across the systems – balancing tradeoffs like margin vs volume, service vs inventory, speed vs cost – as signals move through the business.
That’s where the real ROI sits: not in better forecasts, but in how quickly signals translate into coordinated action across the organization. Our analysis shows that balanced AI leadership across supply and demand drives positive margin and revenue growth, while siloed AI leadership turns it negative.
Standardized point solutions don’t get leaders here. Differentiation is a given and comes from how you interpret signals, make tradeoffs, and act.
DIFFERENT VERSIONS OF HOW
The ingredients for a tech stack are consistent because certain elements are necessary to support Power Threads:
• Signals — what’s changing in the business
• Decision logic — how those signals are interpreted and turned into choices
• Execution — how those decisions are applied
But how these elements are assembled varies based on design choices around signal speed, decision ownership, and execution coupling – all based on the tradeoffs a business is optimizing for.
Below is an example based on a single PowerThread – Signal-to-Plan – showing how three organizations, including the retailer from earlier, are assembling it in practice.
While moving from left to right in the table increases signal speed, coordination, and responsiveness, it also requires greater ownership of decision logic and system design. And that tradeoff will depend on what you and your org are optimizing for.
FOCUS ON ASSEMBLY
The shift for leaders is the move away from a heavy focus on individual technologies to how to best orchestrate them as a connected system of signals, decisions, and execution. And those who do so will see value from tech and AI returned in multiples.