LEXCOREDEV.COM · CASE STUDIES · 2021–2026

Real projects.
Real results.

We don't use mock screenshots. Every case study here is a delivered project — with actual numbers from the client.

01
Custom CRM PHP + MySQL 8 Weeks
3,200
Distributors Managed
₹0
Annual Licence Fee
8w
Delivery
RETAIL DISTRIBUTION · CRM

Replacing a ₹9L/year SaaS CRM with a system they own forever

RetailSoft India managed 3,200+ distributors across 14 states on a SaaS CRM costing ₹9L/year in subscriptions. The vendor refused custom fields. Data exports were throttled. They had zero code access.

A fully custom CRM on their own server — PHP 8 + MySQL, multi-user roles, distributor scoring, order tracking, automated reminders, and a mobile-responsive sales dashboard. Custom fields configurable by admin. Full data export at any time.

  • ₹9L/year subscription eliminated — ROI in 14 months
  • Their own developer maintains it with no external dependency
  • 3 custom workflows added 6 months post-delivery — by their team
  • Data fully portable: exported to BI tools on day one
02
Hospital ERP Laravel + Flutter 14 Weeks
₹12L
Annual Saving
14mo
Payback Period
100%
Data On-Premise
HEALTHCARE · ERP + MOBILE APP

Hospital management system — on-premise, zero cloud dependency

MediTrack Solutions ran a 120-bed hospital on a vendor ERP costing ₹12L/year. Patient data was stored on the vendor's cloud servers. Compliance was a recurring concern. Customisation requests took 3–4 months and cost ₹30K+ each.

A complete hospital management ERP — OPD, IPD, billing, pharmacy, lab, and HR modules — built on Laravel + MySQL, deployed fully on-premise. A Flutter mobile app for doctors and nurses. Full patient data stays inside the hospital network.

  • ₹12L/year subscription eliminated
  • Full DISHA compliance — all patient data on-premise
  • Flutter mobile app: 98% staff adoption in 3 weeks
  • Payback period: 14 months from go-live
03
Private AI FastAPI + Ollama 6 Weeks
0
Data Leaves Server
₹0
Per-Query API Cost
6w
Delivery
ANALYTICS · PRIVATE AI INTEGRATION

A private AI assistant trained on internal docs — no cloud, no data risk

Nexgen Analytics needed an AI assistant that could answer questions from their proprietary research database (8,000+ documents). Using ChatGPT or Claude was not possible — client confidentiality clauses prohibited sending data to external APIs.

A fully local AI stack — Ollama running Mistral 7B on their own server, with RAG (retrieval-augmented generation) over their document database. A clean web chat interface for the team. Zero external API calls. Zero per-query cost after setup.

  • 100% of queries answered from local data — no leakage risk
  • Eliminated ₹80K/year in external AI API costs
  • Response accuracy: 91% on internal benchmark tests
  • Team of 22 analysts using daily within week 2

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