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Work

Real problems. Real solutions. No invented metrics.

These are anonymised summaries of actual projects. The problem, what was built, and one concrete outcome — only numbers we can stand behind.

Hospital Management

A 180-bed private hospital, Delhi NCR

Next.js · Node.js · PostgreSQL · Redis · React Native · PDF generation · HL7 lab interface

The problem

OPD registration happened on paper. Pharmacy dispensing wasn't linked to patient records, so unbilled medications disappeared into the gap between ward and billing. Lab results were printed and walked to doctors by hand — by the time a result reached the treating physician, the patient had sometimes already been discharged. Revenue cycle took 18–22 days to close after a patient left because billing staff had to reconstruct what actually happened from three disconnected sources.

What was built

A fully integrated Hospital Management System covering OPD queue and registration, IPD admission and discharge with bed assignment, real-time bed occupancy dashboard for ward supervisors, pharmacy dispense linked to the active patient file, lab result auto-push to the doctor's patient view, insurance billing with procedure code mapping, and a React Native ward app for nurses to update room status and vitals without leaving the ward.

Outcome

Billing cycle reduced to same-day closure for 82% of OPD cases. Revenue leakage from unbilled pharmacy dispenses dropped by 68% in the first quarter post-launch. Ward nurses recovered an average of 40 minutes per shift previously spent on paper-based record updates. The hospital COO described it as 'the first system that made the billing team and the clinical team actually talk to each other.'

Education / School Management

A chain of 3 schools, Noida

Next.js · Node.js · PostgreSQL · Razorpay · Twilio SMS · PDF marksheet generation

The problem

Three schools, three separate Excel files for attendance, three separate receipts books for fees, and no way for the central office to know what was happening across campuses in real time. Fee reminders were sent by front desk staff making phone calls one by one. Teachers manually compiled monthly attendance registers by hand — a task that took 4–5 hours at the end of each month. Parent queries consumed roughly 30% of front desk call volume.

What was built

A unified school ERP covering multi-campus admissions workflow, daily teacher-marked attendance with automatic absent-parent SMS alert, online fee collection via UPI and card with instant digital receipt, exam scheduling and marksheet generation, and a parent-facing portal for attendance records, fee status, and result access. A single admin console gives the central office a live view across all three campuses.

Outcome

Fee collection improved by 31% within the first two months as automated reminders replaced manual phone calls. Teacher end-of-month attendance work dropped from 4–5 hours to under 20 minutes. Parent portal now handles approximately 65% of queries that previously required a phone call to the school office. The central admin described the multi-campus view as 'something we didn't know we needed until we had it.'

Pharmacy / Healthcare Retail

A 12-outlet pharmacy chain, Delhi NCR

Next.js · Node.js · PostgreSQL · GST e-invoice API · Barcode scanner support · Tally sync

The problem

Each outlet ran its own billing software with no connection to the others. The central office had no view of stock levels across the chain — procurement decisions were made by calling outlet managers on WhatsApp. Drugs near expiry were only discovered during physical stock takes, by which point write-offs were unavoidable. GST return preparation required manually exporting 12 separate sales files and reconciling them in Excel — a two-day job every month.

What was built

A centralised pharmacy management platform with per-outlet POS billing, real-time group-level inventory dashboard, automated expiry alerts at 90, 30, and 7 days, GST-compliant invoicing with single-click monthly returns export, and a purchase order management module that lets procurement negotiate bulk quantities based on actual group consumption data.

Outcome

Near-expiry write-offs reduced by 58% in the first six months. GST preparation time dropped from two days per month to under two hours. The central procurement team began placing consolidated group orders, reducing average purchase cost by roughly 11% through volume negotiation. Outlet managers now spend time on customer service rather than WhatsApp inventory calls.

Manufacturing / Warehouse Operations

A manufacturing company with 4 warehouses, Noida

Next.js · Node.js · PostgreSQL · Tally TDL integration · Barcode scanner support · Mobile-optimised picking UI

The problem

Stock in transit between warehouses was invisible for days at a time — goods marked dispatched from one location wouldn't be acknowledged received at the other until a manager called to ask. Mis-picks were causing a 6% customer return rate that the operations head could not trace to a root cause because there was no picking record. All counts were manual, meaning discrepancy investigations required physically re-counting entire bays.

What was built

A barcode-based Warehouse Management System covering goods receipt, put-away location assignment, barcode-scan picking with pick-list generation, inter-warehouse transfer with real-time in-transit visibility, dispatch confirmation, and daily stock reconciliation. The system syncs with their existing Tally accounting setup via a scheduled integration, eliminating the three hours of daily manual data entry that had previously been the job of one full-time staff member.

Outcome

Mis-pick rate dropped from 6% to under 0.8% within the first two months. Inter-warehouse transfer discrepancies that previously triggered 40-hour-per-month investigations dropped to under 5. The Tally sync eliminated the manual data entry role entirely, freeing that person for value-adding work. The operations head now has a live dashboard showing stock by location across all four warehouses without calling anyone.

NGO / Social Sector

A Delhi-based NGO managing 6 livelihood programmes

Next.js · Node.js · PostgreSQL · PDF generation · Role-based access control · Document vault

The problem

Donor records in Excel, beneficiary case files in paper folders, grant utilisation tracked manually against budget heads in a separate spreadsheet. Quarterly grant reports took 5 days to compile — a process that involved hunting for documents across filing cabinets and matching disbursements to programme milestones by hand. A FCRA compliance audit the previous year had flagged missing donor acknowledgement letters. No system existed to track whether a beneficiary had completed programme milestones or was still mid-journey.

What was built

An NGO management platform with a donor CRM tracking contributions and auto-generating 80G acknowledgement letters, grant management with budget head tracking and utilisation reports, beneficiary registration with per-programme milestone tracking, a document vault with role-gated access, and quarterly grant report generation that compiles utilisation data directly from the system rather than from manual spreadsheet work.

Outcome

Quarterly grant report generation reduced from 5 days to the same afternoon. 80G donor acknowledgement letters now auto-generate within 24 hours of a donation being recorded — the FCRA compliance gap that triggered the previous audit is closed. All 6 programmes have 100% of their beneficiary records digitised. The programme director's team now uses the data actively to identify beneficiaries who have stalled mid-programme rather than discovering it only at the end of a cycle.

Hospitality / Hotel Management

A 45-room boutique hotel, Rajasthan

Next.js · Node.js · PostgreSQL · Channel manager API (Siteminder) · Razorpay · Mobile housekeeping UI

The problem

Bookings came in from three OTAs, direct phone calls, and walk-ins — with no central availability grid. Overbooking happened twice in a single month, once resulting in a guest being turned away after a 4-hour drive. Housekeeping staff had no live view of which rooms were vacant, checked-out, or under maintenance — the supervisor managed this with a physical whiteboard. Checkout billing required pulling charges from three separate places (room, restaurant, mini-bar), causing queues at front desk during peak checkout hours.

What was built

A Property Management System with a real-time room availability grid, OTA channel manager integration for Booking.com and MakeMyTrip so all reservations flow into one calendar, housekeeping task assignment by room with live status updates from a mobile interface, a single-screen checkout that aggregates all charges automatically, and a management dashboard with occupancy rate, revenue per room, and source-of-booking analytics.

Outcome

Overbooking incidents dropped to zero from the first month. Average checkout time reduced from 12 minutes to under 4. The housekeeping supervisor retired the whiteboard after the first week. Management now reviews live occupancy data during morning briefings instead of waiting for last night's spreadsheet export.

Diagnostics / Healthcare

A mid-size diagnostics lab, Delhi NCR

Next.js · Node.js · PostgreSQL · PDF generation · Barcode integration

The problem

The lab was running sample tracking on a combination of paper registers and Excel sheets maintained by front desk staff. Internal audits kept flagging inconsistencies between intake records and test results. With ISO 15189 accreditation under consideration, the manual system had become a liability — not just an inconvenience.

What was built

A custom web-based Lab Information Management System (LIMS): sample intake with barcode assignment, stage-by-stage tracking through collection and testing, automated report generation as PDF, and a full audit log for every record state change. Admin dashboard for daily turnaround tracking.

Outcome

Zero audit failures in two consecutive internal audit cycles post-deployment. Sample-to-report turnaround time reduced by roughly 55%. The front desk team described it as 'the first system that matches how the lab actually works'.

Real Estate

A residential plot developer, Haryana

React · Next.js · Node.js · MySQL · SVG map rendering

The problem

The sales team was managing plot availability on a manually updated Excel file shared over WhatsApp. Double-booking incidents happened twice in six months — once leading to a legal dispute. The developer had over 400 plots across three phases and no reliable way to show availability to walk-in customers in real time.

What was built

A custom web portal with an interactive SVG-based plot map per phase — each plot clickable, showing real-time availability, pricing, and dimensions. A booking workflow with payment status tracking, internal approval stages, and automatic status updates on the map. Separate admin and sales rep logins with role-appropriate views.

Outcome

Double-booking incidents dropped to zero. Sales reps can now show live availability on a tablet during customer visits rather than calling the office to check. The developer reports a measurable improvement in closing speed for walk-in leads.

Logistics / Last-Mile Delivery

A last-mile logistics company, NCR

Node.js · React · MySQL · Tally export integration · SMS delivery confirmations

The problem

The company was running Salesforce — a tool built for B2B sales teams — to manage a dispatch operation. The mismatch was severe: Salesforce assumed a pipeline, they had trips. The real coordination happened in a WhatsApp group, which meant key decisions were invisible to management and unbillable disputes were frequent. Billing ran 12–15 days behind operations.

What was built

A purpose-built dispatch CRM: trip creation with pickup/drop assignment, driver status updates, client delivery confirmation via a lightweight web link, route notes, and a weekly billing export pre-formatted for their accounting software. Management dashboard with live trip status and exception flags.

Outcome

The WhatsApp coordination group was retired within three weeks of go-live. Billing disputes dropped from roughly 12 per month to 2. Billing cycle shortened from 12–15 days to 3. The ops manager described the change as 'the first time we've had an actual record of what happened on any given day'.

Healthcare / Multi-Specialty Clinic

A 6-doctor clinic, South Delhi

Next.js · Node.js · WhatsApp Business API · PostgreSQL · Accounting software integration

The problem

All appointment booking happened by phone. Front desk staff took calls, manually entered appointments into a spreadsheet, and sent SMS appointment reminders by hand. No-show rate hovered around 23%. Three front desk staff were spending roughly 60% of their time on scheduling logistics rather than in-clinic support. The clinic had tried two off-the-shelf booking platforms — both were built for single-doctor practices and couldn't handle per-doctor availability rules.

What was built

A custom booking system with patient-facing scheduling (doctor-specific availability, 30-min slots), automated WhatsApp confirmation and 24-hour reminder via the WhatsApp Business API, appointment management dashboard for front desk staff, and a daily schedule view per doctor. Integrated with their existing accounting software for billing capture.

Outcome

No-show rate dropped from 23% to 9% within the first month. Front desk call volume for scheduling reduced by approximately 40%. Three staff now spend the reclaimed time on in-clinic work rather than the phone. The clinic has since extended the system to handle follow-up appointment scheduling from the doctor's end.

Fashion / E-commerce

A D2C apparel brand, Delhi

Node.js · Shopify API · PostgreSQL · Webhook architecture · Automated reconciliation

The problem

The brand was running Shopify with three separate inventory management plugins that frequently fell out of sync with each other. Returns processing was entirely manual — a team member would update inventory by hand after each return was inspected. At their scale (~800 orders/month), the inventory discrepancy rate had reached 8%, which was showing up as customer complaints about out-of-stock items being ordered.

What was built

A custom inventory synchronisation layer that sat between Shopify and their fulfilment warehouse: real-time stock updates triggered by order events, a structured returns workflow (inspection → restock or write-off → automatic Shopify inventory update), and a daily reconciliation report. The three existing plugins were retired.

Outcome

Inventory discrepancy rate dropped from 8% to under 1% within the first two months. Returns processing time reduced from 2–3 days to same-day. The team retired the three plugins, reducing their Shopify app spend by ₹18,000/year as a side benefit.

All case studies above are anonymised at client request. Client names, specific locations, and identifying details have been generalised. Outcomes described are real — no fabricated metrics. If you want to discuss a project in a specific industry in more detail, reach out and we’ll share what’s relevant to your situation.

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