Case Study

Zillion Traders Financial and Technical Review of Digital Integration

Factory & AI operations

Objective

The objective was to stabilise manufacturing costs and procurement efficiency through automation of production analytics and predictive sourcing. Two platforms were deployed:

  • MaxTex, covering fabric-to-garment workflow and waste analytics.
  • AgroOptima, providing upstream forecasts for yarn and cotton markets.

Both systems were configured and deployed by Ahsan Sharif (MaxobizTex) under a 12-month commercial contract.

System Architecture

Data from the factory's ERP and QC modules was routed into MaxTex for automated cutting-plan generation, shade-variance monitoring, and real-time waste tracking.

AgroOptima supplied API-based commodity and crop-yield indices used by the procurement desk.

An integration bridge linked the two datasets, enabling procurement decisions to reference expected production throughput and material efficiency simultaneously.

Data Flow Summary:

ERP → MaxTex (production metrics) → AgroOptima (forecast alignment) → ERP → finance module (variance accounting).

Dashboards refresh hourly; variance sheets consolidate daily.

Financial Outcomes (verified against management accounts)

Indicator FY2020 Baseline FY2021–22 Actual Change Source
Material cost / unit garment PKR 342 PKR 292 -14.6 % Cost-of-Sales ledger
Fabric waste ratio 14.1 % 11.0 % -3.1 pp MaxTex dashboard
Export QC re-dye rate 19.8 % 16.7 % -3.1 pp QC register
Average procurement timing vs market low +6.5 days +1.2 days -5.3 days AgroOptima forecast log
Production cost per unit PKR 498 PKR 424 -14.9 % Finance variance bridge

Gross-margin analysis indicates savings of approximately PKR 12.8 million achieved without new machinery or headcount.

Technical Metrics (from system exports)

  • MaxTex: 98 % of cutting plans generated algorithmically by end of Q3; average nesting efficiency 93 %.
  • AgroOptima: 78 % of yarn purchases executed within the forecasted price-stability window.
  • System uptime: 99.2 % over final quarter; mean API latency 1.3 s.
  • User adoption: 44 active users across production, QC, and procurement; training completion 100 %.

Role and Contribution

Ahsan Sharif led the integration schema linking both platforms, defined the KPI mapping for cost variance, and produced the reconciliation template used by finance.

He also led the workflow audit now embedded in the company's internal-control manual, allowing auditors to verify that digital metrics align with financial ledgers.

Verification Material Held by Zillion Traders

  • Signed deployment contract and invoice trail (PKR 6.4 m).
  • ERP-MaxTex-AgroOptima integration diagram (rev 2.3).
  • FY2021–22 variance analysis with cross-referenced ledger extracts.
  • API logs confirming data exchange and uptime.
  • Redacted bank statements showing subscription payments.

The project demonstrates measurable, independently auditable cost efficiency resulting from a combined technical and financial intervention.

MaxTex and AgroOptima, integrated under the architecture designed by reduced material and production costs by roughly 15 %, improved procurement timing, and established a verifiable data-to-ledger workflow now used in annual audits.