Case Studies

Real Results from Real Engagements.

How we've helped enterprises turn Data, AI, and Automation challenges into measurable business outcomes.

Automation AI

Invoice Processing Automation

Industry: Manufacturing & Supply Chain

A manufacturing company processed 3,000+ invoices monthly across multiple formats and languages. Manual data entry caused delays, errors, and bottlenecks in the approval chain.

What We Did

  • AI-powered OCR and extraction for Thai + English invoices
  • Automated 3-way matching (PO, receipt, invoice)
  • Exception routing with human-in-the-loop for edge cases
  • Integrated with existing ERP approval workflow

Results

85%
Reduction in manual data entry
3x
Faster invoice processing
97%
Extraction accuracy
0
Systems replaced

AI Data

Enterprise Knowledge Assistant

Industry: Professional Services

A professional services firm had 15 years of project documents, policies, and internal knowledge scattered across shared drives, email, and legacy systems. Finding the right information took hours — if it was found at all.

What We Did

  • Deployed IQStack with RAG pipeline across 50,000+ documents
  • Thai + English bilingual search with source citations
  • On-premise deployment — data never leaves the building
  • Connected to existing document management system

Results

Minutes
To find answers (was hours/days)
50K+
Documents searchable
100%
On-premise — zero cloud
0
Systems replaced

Data

Unified Data Platform for Retail

Industry: Retail & E-Commerce

A retail chain had store POS data in one system, e-commerce in another, and operations in a third. No unified view of inventory, sales, or customer behavior across channels.

What We Did

  • Built data pipelines connecting POS, e-commerce, and ERP
  • Cloud data warehouse with real-time sync
  • Self-service dashboards for store managers and executives
  • Inventory optimization model reducing overstock and stockouts

Results

Single view
Across all channels (was 3 silos)
20%
Reduction in overstock
Real-time
Inventory visibility
0
Systems replaced

Data AI

Predictive Maintenance for Manufacturing

Industry: Manufacturing

A factory operated on calendar-based maintenance — replacing parts on schedule regardless of actual condition. Unplanned downtime still cost them millions per year, while scheduled maintenance often replaced parts that were still fine.

What We Did

  • Connected vibration, temperature, and pressure sensors to IoTStack
  • AI models trained on historical failure data to predict breakdowns
  • Maintenance scheduling optimized around production windows
  • Integrated with existing CMMS — no system replacement

Results

40%
Reduction in unplanned downtime
25%
Lower maintenance costs
2 weeks
Advance failure prediction
0
Systems replaced

Automation AI

Government Document Processing

Industry: Government

A government agency received thousands of citizen requests monthly — permits, complaints, and service requests — all on paper or unstructured email. Manual classification and routing meant weeks of delay and frequent misrouting.

What We Did

  • AI document classification for 20+ request types
  • Automated routing to correct department with priority scoring
  • Human oversight dashboard for review and approval
  • Connected to existing citizen portal — no public-facing changes

Results

70%
Faster request routing
93%
Classification accuracy
Near zero
Misrouted requests
0
Systems replaced
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