A Dubai Fastener Maker Cut Its Quoting Time From 10 Days to 2 and Never Mentioned AI Once
Digital Transformation

A Dubai Fastener Maker Cut Its Quoting Time From 10 Days to 2 and Never Mentioned AI Once

TripleFast Middle East rebuilt its quoting logic inside Epicor Kinetic and cut turnaround by 80 percent, a reminder that most ERP value still comes from unglamorous data discipline rather than a chatbot layer.

PublishedSeptember 14, 2026
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An 80 percent cut with no AI headline

TripleFast Middle East, a Dubai-based manufacturer of fasteners and engineered components for oil, gas and petrochemical customers, brought its quotation turnaround down from as long as 10 days to roughly 2, an 80 percent reduction, after moving onto Epicor Kinetic's cloud deployment. In a year when nearly every ERP vendor briefing leads with an AI capability, the detail that stands out here is what the case study does not mention: no AI feature, no chatbot, no copilot did the work. The gain came from integrating quoting logic directly into the ERP and eliminating the spreadsheet-based calculations that were previously bolted on around it.

That is worth pausing on for CIOs currently weighing where to spend limited modernization budget. TripleFast is a mid-market manufacturer, not a Fortune 500 company with a dedicated AI center of excellence, and it produced one of the more concrete efficiency numbers in this week's ERP news cycle without deploying a generative feature at all. The lesson is not that AI does not matter. It is that the unglamorous work of getting quoting logic, configuration rules and cost data structured correctly inside the system of record still delivers measurable value on its own.

What actually changed under the hood

The mechanics are specific enough to be useful to other manufacturers evaluating a similar move. TripleFast moved its quoting logic into Kinetic itself, replacing a process that had previously run through spreadsheets maintained outside the ERP, a pattern common at manufacturers where sales engineering builds its own tools because the core system feels too rigid to adapt. It also deployed a customized product configurator linking part dimensions directly to part codes and costs, and refined its bill-of-operations records with embedded machine times, tightening the connection between what a quote promises and what the shop floor can actually deliver.

Each of those three changes addresses a different point of friction: the configurator removes manual lookup and error-prone matching, the embedded quoting logic removes the spreadsheet as a shadow system of record, and the refined bill-of-operations makes the quoted numbers reflect real production capacity rather than rules of thumb. None of it required exotic technology. It required deciding that data living in a spreadsheet next to the ERP was a liability worth fixing, and then doing the fixing.

Incremental by design, not by accident

TripleFast's Finance Director described the approach as continuous, incremental enhancements rather than pursuit of a single milestone transformation. That framing matters because it is the opposite of how most ERP projects get sold internally: a big-bang go-live date, a steering committee, a defined end state. TripleFast instead treated quoting as phase one, has already completed scheduling improvements, and has financial planning and analysis queued next, followed by barcode scanning and inventory enhancements.

This sequencing is a deliberate risk management choice as much as a technical one. Each phase delivers a measurable, standalone win, quoting turnaround in this case, before the organization takes on the next piece of complexity. For mid-market manufacturers without a large internal IT function to absorb a failed big-bang cutover, that incremental discipline is arguably more transferable than any specific feature TripleFast implemented, because it reduces the blast radius of any single phase going wrong. A failed quoting rollout is a bad quarter. A failed big-bang cutover across finance, scheduling and inventory simultaneously can be a company-threatening event, and mid-market manufacturers rarely have the balance sheet to absorb that kind of miss.

The on-premises clock is now explicit

Epicor has set a firm date behind this story that gives it urgency beyond one company's efficiency case study. The vendor's final on-premises Kinetic feature release is scheduled for January 2028 as version 2028.1, after which sustaining support runs through 2030 with no further functional updates. For manufacturers still running on-premises Kinetic, that is a real deadline, not a soft recommendation, and it converts the cloud migration decision from a discretionary modernization project into a forced one on a known timeline.

Epicor is also rolling out its Prism AI capabilities on a regional schedule, with availability landing in the UK and Europe in June 2026 and Latin America in August 2026. The sequencing is instructive: those AI features arrive after the cloud migration, not instead of it, and they depend on the same clean, structured data that TripleFast built through its quoting and configurator work. A manufacturer that migrates to the cloud without doing that underlying data discipline work will get the infrastructure shift without the payoff Prism is meant to unlock.

What this means for the roadmap

TripleFast's numbers are a useful corrective for CIOs under pressure to lead every ERP conversation with an AI roadmap slide. The 80 percent cut in quoting time came from getting the fundamentals right inside the core system, a category of work that rarely makes an exciting board presentation but reliably shows up in operating metrics. Boards asking for an AI strategy should be comfortable hearing that the first phase of it is data and process cleanup, because that is genuinely the sequencing that works.

For mid-market manufacturers specifically, the more actionable takeaway is the phasing itself: pick one high-friction process, quoting, scheduling, whatever generates the most manual workaround activity today, fix it inside the ERP rather than around it, and measure the result before moving to the next phase. That approach also happens to build the exact data foundation that AI features like Prism require to be worth deploying later, which makes the incremental path faster in total than it looks at the start. And with Epicor's on-premises clock now running toward January 2028, manufacturers that start this discipline now, on their own schedule, will be in a far better position than those still deciding when the vendor's deadline finally forces the question.

Tagged#news#digital-transformation#enterprise#cio#erp#strategy#governance#erp-modernization#epicor#manufacturing#cloud-migration#mid-market