/ Procurement · PUBLISHED CASE

Defender Technologies

Supplier enquiries consolidated into a faster procurement view

A CNC job-work manufacturer built an AI-assisted supplier-enquiry application and shortened procurement analysis.

CNC job-work manufacturing15 peopleSource pages 52–53

MCCIA-PUBLISHED CASEANALYSED BY DOTSUPERNOT PRESENTED AS A DOTSUPER CLIENT

/ THE SHORT VERSION

A CNC job-work manufacturer built an AI-assisted supplier-enquiry application and shortened procurement analysis.

01 / BUSINESS CONTEXT

The work before the tool.

Defender Technologies receives supplier enquiries and quotations through platforms, email and WhatsApp while managing daily production records and documentation.

THE OPERATING CONSTRAINTFinding suitable suppliers, comparing quotations and selecting raw materials required substantial manual effort. Information was spread across channels and paper records.

02 / THE INTERVENTION

What changed in the workflow.

The business used ChatGPT, Google AI Studio and Perplexity, then created a procurement application that consolidates supplier responses and supports comparison and vendor selection.

DEPLOYED VS. PLANNED

The procurement application and several supporting workflows were in use. A complete AI-enabled ERP appears in the report as a future objective.

03 / REPORTED OUTCOMES

The numbers, with their labels attached.

2 days → hoursprocurement and supplier evaluationReported by the organisation in the MCCIA publication. Not independently audited.

5employees trainedReported by the organisation in the MCCIA publication. Not independently audited.

Before and after, based on the published case narrative
Workflow area	Before	After
Supplier responses	Enquiries spread across WhatsApp and email	Responses are consolidated for comparison
Evaluation	Quotations and raw-material options checked manually	AI assists a faster, structured evaluation
Decision control	Manual analysis informed selection	People retain vendor and purchasing authority

04 / HUMAN CONTROL

Capability matters when people stay in control.

Employees reviewed options, selected vendors and remained responsible for purchase decisions. The system organised evidence rather than committing orders.

05 / WHAT A SIMILAR BUSINESS SHOULD TEST

Transfer the pattern, not the conclusion.

01
Procurement assistance needs clear comparison criteria and traceable source documents.
02
Train the employees who already perform the evaluation, not only the system sponsor.
03
Treat an ERP vision separately from a focused procurement application.

06 / SOURCE AND LIMITS

What this page can and cannot establish.

This analysis summarises outcomes published in MCCIA’s AI: Compilation of case studies (2026), printed pages 52–53. The work was conducted through the MCCIA Applied AI Studio. The report credits the Studio team managed by Neeraj Thakur, with Gauri Kale and Ismail Patel. The featured organisation is not presented as a dotSuper client.

01The report does not publish evaluation accuracy, number of quotations processed or realised financial savings.
02The time improvement is organisation-reported and may reflect consolidation as well as AI assistance.

Read the original MCCIA publication

/ FREE AI EXPLORATION · 30 MINUTES

Does this pattern look familiar?

Bring the comparable workflow in your business. We will test the fit, name the missing evidence and identify one practical next move.

Explore this use case