What changed, and by how much.
Every engagement is measured against the client's own baseline, agreed before we start. These are the numbers that came out.
“AiOpt transformed our supply chain operations. We reduced costs by 47% while improving delivery times across all regions.”
“The predictive analytics have been game-changing. We now anticipate market shifts weeks in advance and adjust our strategy proactively.”
“Implementation was seamless and ROI was visible within the first quarter. The AI continuously learns and optimizes our processes.”
Why teams bring us in.
We are measured on the result, not on licences. The system pays for itself in the first quarter or the engagement does not continue.
Decisions that hold up
Share of AI recommendations that measurably improved the metric they targeted, across every system we have shipped. Every recommendation is logged, attributed and auditable.
Faster to a decision
What took an analyst a week now lands in minutes.
Average efficiency gain
Measured against the client's own baseline from before we started.
Active optimizations right now
Running continuously across client operations, adding roughly 347 new insights a month without anyone opening a dashboard.
How these numbers are produced.
We log every recommendation with its predicted effect and its realized effect. The gap between the two is visible to you at all times — that is what makes the figure verifiable rather than a claim.
Tell us the process. We will tell you what AI can do with it.
Start with a free audit. We map your processes, model the savings, and you decide from there.