DATA DRISHTI IN PRODUCTION – CASE STUDIES & SYSTEMS
Proof in Production. Real Systems. Measurable Impact.
We don’t sell theoretical slide decks or bloated enterprise licenses. Explore working business intelligence hubs, automated WhatsApp pipelines, and intelligent parsers running daily operations for real companies.
CASE STUDY 01 – WHOLESALE, FMCG & HARDWARE DISTRIBUTION
The Cash Flow & Debtor Recovery Engine
“Over Rs. 42 Lakhs in trade credit was trapped past 60 days. Dispatch staff relied on paper delivery challans, while the accounts team spent 15 hours every Monday calling retailers manually to chase overdue cheques.”
We engineered a zero-friction data bridge from their on-premises Tally ERP to Power BI, tracking aging buckets (>30, 60, 90 days) in real time. Upon dispatch, automated tax invoices are sent to retailers via WhatsApp, accompanied by polite, automated 7-day payment reminder sequences with 1-click UPI links.
- Mobile KPI Dashboards
- Debtor Aging Intelligence
- WhatsApp E-Invoicing
- Automated Payment Sequences
CASE STUDY 02 – CHARTERED ACCOUNTANTS & ADVISORY
The 3-Way Audit & Tax Automation Pipeline
“During peak filing seasons, article clerks spent up to 18 hours per corporate client manually cross-checking hundreds of scanned vendor PDF receipts against bank statements and GSTR-2B filing reports, leading to frequent fatigue and missed input tax credits.”
We developed an intelligent Python OCR parser that ingests incoming vendor PDFs and extracts GST numbers, line items, and totals into structured tables. These tables are automatically fed into a 3-way reconciliation engine that cross-references Bank vs. Tally vs. GST portals in minutes.
- AI Document & Invoice Parsing (OCR)
- Automated 3-Way Reconciliations
- Standardized Client MIS Packs
- Power Query Automation Hubs
CASE STUDY 03 – PRECISION MANUFACTURING & ASSEMBLY
Shop Floor Telemetry & Stock Intelligence
“Production and machine logs were tallied on paper clipboards by shift supervisors. Management only found out about afternoon machine breakdowns or scrap rate spikes at 10:00 AM the following day, by which time raw materials had already been wasted.”
We deployed a 16:9 high-contrast dark TV dashboard mounted directly on the plant floor. Operators log finished lots and reject causes with 2 clicks. Production counts, machine downtime (OEE), and raw material safety thresholds update live on both plant screens and the Managing Director’s mobile phone.
- Shop Floor TV Dashboards
- Scrap & Quality Monitoring
- Raw Material Buffer Alerts
- OEE & Machine Downtime Tracking
CASE STUDY 04 – DIGITAL STARTUPS & E-COMMERCE
Market Intelligence & Autonomous Cloud Pipeline
“A fast-scaling digital brand was spending 25+ hours each week manually checking rival e-commerce catalogs for price shifts, while SDRs spent half their day copy-pasting lead contacts from directories into HubSpot.”
We built scheduled headless Python scrapers deployed on cloud infrastructure to monitor 10,000+ competitor SKUs daily, alerting commercial leads when price deltas exceed 5%. Simultaneously, an automated n8n pipeline enriches verified prospect data and populates HubSpot without human touch.
- Market Price Scraping
- B2B Lead Extraction & Enrichment
- Cloud n8n Orchestration
- Unified MRR & Cash Runway Tracking
CASE STUDY 05 – HOSPITALITY & EXPERIENTIAL VENUES
Multi-Branch Hospitality & Dwell Analytics
“Experiential cafes and venues face long weekend table bottlenecks, lost revenue on unmonitored table dwell times, and 250+ expensive game inventory assets that wear out or lose pieces without accountability.”
We engineered a RevPASH (Revenue Per Available Seat Hour) tracker integrated into mobile billing, an asset lifecycle register for high-value games, and an automated 9:00 PM WhatsApp digest comparing daily revenue, covers, and table turnaround across all branches.
- POS & Table Turnover Velocity (RevPASH)
- Asset Lifecycle & Dead Stock Tracking
- Daily 9:00 PM WhatsApp Digest
- Multi-Location Performance Comparison
PROVEN ENGAGEMENT METHODOLOGY
How We Work With You - Zero Risk, Guaranteed Delivery
Every project follows an ISO-grade 3-step deployment cycle. You evaluate working software with your actual data before full operational sign-off.
DAY 1–3
Friction & Data Audit
We inspect your spreadsheets, Tally exports, and operational bottlenecks. We define exact KPIs, data dictionaries, and calculate realistic ROI potential.
DAY 4–14
Rapid Working Prototype
We model your actual data into Power BI or Python automations. You test a private, functional staging prototype on your phone and desktop before deployment.
DAY 15+
Rollout & Process Training
We conduct hands-on training sessions with your staff, establish automated refresh schedules, and provide 30 days of direct founder support.
Ready to Turn Your Operational Data into Measurable ROI?
Tell us about your industry, current software stack, and biggest reporting bottleneck. In 30 minutes, we’ll show you a working prototype of how your numbers can run on autopilot.