Our Case Studies
Real business impact delivered through data engineering, automation, analytics, and intelligent systems.
Challenge
Global operations relied heavily on manual Excel/VBA processes for procurement, sampling, and logistics reporting, leading to errors, delays and inconsistent data.
Solution
- Standardised 100,000+ rows of procurement & quality data
- Built automated reporting using SQL + Power Automate
- Developed Power BI dashboards across multiple teams
- Created Power Apps replacing manual Excel forms
- Implemented daily-refresh pipelines to unify data sources
Impact
Reporting time reduced from 2 days to <1 hour • Manual effort reduced by 60-70%
Challenge
The company struggled with fragmented operational data, poor visibility, and manual reporting workflows.
Solution
- Built operational BI dashboards
- Improved UX/UI for data understanding
- Automated key workflows using SQL + Python
Impact
Improved UX • Automated workflows • Better data decisions
Challenge
Managing a large network of cashless POS systems without operational visibility.
Solution
- Built performance dashboards for POS reliability
- Implemented data-driven monitoring workflows
- Trained retailers + managed ops team of 15
Impact
500+ POS deployed • Faster transactions • Higher reliability
Challenge
Inconsistent catalog data across 7 countries affecting customer experience.
Solution
- Built catalog performance dashboards
- Data validation automation (70% of manual checks)
- Standardised catalog workflows
Impact
35-45% fewer catalog errors • 200,000+ SKUs corrected
Challenge
Manual inventory tracking processes created errors and slow decision-making.
Solution
- Automated reporting built on PostgreSQL
- Developed Excel-VBA + SQL-based inventory logic
Impact
Reporting time reduced by 50% • Increased stock accuracy
Challenge
Needed predictive systems for client/product recommendations and lifecycle optimisation.
Solution
- Built predictive AI agents
- Trained ML models using 20+ behavioural variables
- Automated segmentation workflows
Impact
72% ML accuracy • Manual segmentation reduced by 90%
Challenge
Retailers needed better demand forecasting and automated replenishment logic.
Solution
- Built ML demand forecasting models
- Automated recommendation engine
Impact
GMV uplift of 18-25% • Stockouts reduced by ~30%
Challenge
Complex SQL workloads and slow ETL pipelines delayed analytics.
Solution
- Rebuilt ETL workflows
- Optimized SQL
- Migrated datasets to Snowflake
- Integrated Power BI with Snowflake
Impact
Reports 80% faster • ETL pipelines 60% faster
Challenge
Needed a modernized backend data pipeline for national-level customs systems.
Solution
- ETL ingesting 2-3GB/day
- Log recovery & anomaly detection pipelines
- Multi-database architecture
Impact
10M+ records • 250K logs/day • High-volume ETL ingestion
Challenge
Needed scalable systems to support rapid expansion of new products.
Solution
- Built 25+ microservices
- Designed relational + NoSQL databases
- Implemented CI/CD (Jenkins & GitHub Actions)
Impact
10K-30K requests/min • Deployment time reduced 2h → 10min