Only 27% of executives say their technology is fully aligned with their business objectives, according to a 2025 Grant Thornton survey of more than 550 senior executives. That gap tends to open at the very start: the platform, or lately the model, gets chosen first. The budget follows. The business case gets written afterward, to justify a decision that has already been made. The customer, the reason for the investment, enters the process late.
We reversed that sequence for a regional mattress & sleep retailer preparing to open. The work began with the journey the customer would take, quantified the value in each stage, mapped that value to the technology capable of capturing it, and let return on investment determine what to build, what to sequence, and what to defer.
27 Value Opportunities · Five Objectives · Ten-Stage Journey
We mapped the customer's path from end to end, a ten-stage journey that runs from pre-awareness through purchase, delivery, and advocacy, and tied it to five strategic objectives: attracting new customers, lifting ticket value, earning repeat business, delivering a low-friction personalized experience, and improving operational efficiency.
Within that journey we identified 27 discrete value opportunities: specific things the business could do for a customer at a specific moment to create value, from a targeted ad driven by look-alike audiences, to an in-store recommendation engine, to a checkout upsell, to a post-delivery satisfaction loop. Each opportunity was tied to an objective and priced on its own before any system was named. The journey set the agenda, not the software catalog.
One thing the business does for one customer at one moment in the journey. It ties to a strategic objective. It carries its own estimate of annual value. And it is defined before any technology is chosen, which is what makes it possible to ask whether a system is worth funding at all.
An opportunity without a number is only an opinion. So we identified the levers that actually move value in a digital transformation. They are remarkably consistent across industries.
● Levers used in this model
Every value case is built from some combination of these levers. We drew on seven of them: leads, conversion, ticket value, repeat purchase, labor efficiency, fewer redeliveries, and fewer returns. We used none of the cost-side software levers, because a new retailer has no legacy licenses to consolidate. The discipline is to price only the levers the business actually has.
For each opportunity we estimated annual value at three levels of ambition: Conservative, Base, and Aggressive. Each lever was flexed between a cautious and an optimistic assumption, grounded in published benchmarks. The output is a range rather than a false-precision point estimate. The ranges were also revealing: a small group of opportunities carried most of the value, while the long tail contributed very little. That concentration is what makes prioritization possible.
Five of the twenty-seven opportunities account for roughly three-fifths of total modeled value, holding across all three scenarios. Prioritization is not a philosophical preference here: it is what the ratios demand.
With value attached to each opportunity, we built the bridge to technology: a matrix that maps every opportunity to the systems required to deliver it. The rule was strict. An opportunity's value counts only when every system it depends on is funded. A recommendation engine with no clean customer data behind it captures nothing. This enablement gate turned a wish list of tools into a dependency graph, and it made clear which single investments unlocked many opportunities at once and which unlocked almost none.
Now the discipline pays off. Ranking each system by the return on its incremental investment sorts the portfolio into tiers and draws a clear line at zero. The wall below shows the full, ranked portfolio already built. Reset it, then step or press Play, to watch the systems layer in one at a time under the order we recommended funding them, and note the systems that stay below the line regardless of how optimistic the assumptions become. Two of those three are AI investments, held back not because AI does not work, but because these particular applications do not clear the bar yet.
Opportunities Enabled 2 / 27
Fund the six systems above the line now. Defer the three below it until scale changes the economics.
“An opportunity without a number is only an opinion.”
The retailer's numbers belong to one business. The method does not. Five principles carry over to any digital or AI transformation: