We built the complete technology platform for Snehgarh a real estate developer covering property listings, a sales CRM, a post-purchase buyer portal, and an internal admin panel, all connected with AI-powered lead qualification and pricing intelligence.
Snehgarh needed technology that could handle the full buyer journey from first visit to possession plus the internal tools their sales team, finance team, and management needed to run the business.
The property listing portal (public-facing web) presents available units with searchable filters (configuration, budget, floor, facing), high-resolution photo galleries, downloadable floor plans, amenities detail, possession dates, and embedded virtual tour links. Each unit shows its current status (available, reserved, sold) and the applicable pricing slab. The dynamic pricing engine is one of the technically complex parts Snehgarh prices units differently by floor, facing direction (east/west/north), and payment plan, which means a single project can have dozens of valid price combinations. The engine calculates the correct current price for any unit given the customer's selected floor and facing without manual intervention.
The lead management CRM captures inquiries from the website contact form, WhatsApp Business integration, and walk-in registration. Leads are automatically assigned to the sales rep responsible for that project or locality, with round-robin fallback if no specific rep is assigned. The CRM tracks every touchpoint: call logs with duration and notes, follow-up reminders with overdue alerts, site visit scheduling, and stage progression through the sales funnel. Sales managers see a real-time conversion funnel from first inquiry to booking.
The buyer portal activates for customers who book a unit. It shows the construction progress timeline with dated photo updates (the Snehgarh team uploads photos from site), the complete payment schedule with each instalment's due date and amount, payment history for amounts already paid, and a document vault where the buyer can download their allotment letter, agreement for sale, and possession letter as each document is uploaded. Buyers can also raise service requests (snag list items, change requests) from this portal.
The internal admin panel handles unit inventory status (marking units as sold or reserved triggers the public listing update in real time no delay, no manual refresh), pricing management for each slab, sales rep performance dashboards, and financial reporting for management.
Six interconnected modules that take a buyer from their first visit to the website through to possession and give the Snehgarh team the tools to manage it all.
Searchable listings with floor plans, photo galleries, amenities, possession dates, pricing slabs, and virtual tour embedding. Unit availability updates instantly when admin marks a unit sold no propagation delay.
Inquiry capture from web form and WhatsApp, automatic lead assignment to sales reps, call log tracking, follow-up reminders with overdue alerts, site visit scheduling, and a visual conversion funnel from inquiry to booking for management.
Construction progress timeline with dated photos, payment schedule showing each instalment's due date, payment history, document downloads (allotment letter, agreement, possession letter), and service request submission for snag list items.
Calculates the correct price for any unit based on floor, facing direction, and payment plan. Supports multiple simultaneous pricing slabs (early-bird, standard, subvention) and price revision events that update all unsold units automatically.
Secure document storage on AWS S3 with per-buyer access control. Documents are uploaded by the Snehgarh admin and become immediately visible in the relevant buyer's portal. Version management for agreements with revision history.
Real-time inventory status (available, reserved, sold by unit), sales rep performance metrics, project-level and company-level revenue reports, payment collection status, and outstanding instalment tracking for finance team.
Three AI capabilities that directly improved lead-to-sale conversion and reduced manual workload for the sales team.
When a registered user browses the listing portal, the recommendation engine analyses their session behaviour which units they viewed for more than 30 seconds, which ones they saved, their budget range derived from filters applied, and their location preferences. It then surfaces the most relevant available units in a "Recommended for You" section. For returning visitors, it incorporates their previous session data to refine recommendations over time.
Result: measurable increase in inquiry-to-site-visit conversion rate
Inbound leads from WhatsApp and the web contact form are handled first by a qualification chatbot. It asks five structured questions: preferred configuration (1/2/3 BHK), budget range, purchase timeline (immediate/6 months/1 year+), current location, and whether the buyer has seen other projects. Based on the answers, it scores the lead as hot/warm/cold and routes hot and warm leads to a sales rep with the qualification summary pre-filled. Cold leads are added to a nurture sequence. The chatbot uses an NLU model fine-tuned on real estate inquiry patterns.
Result: 2–3 hours per day of rep time saved on cold lead handling
The pricing advisory model analyses historical sales velocity per floor and facing, enquiry volume trends, registered nearby project launches, and current inventory remaining to surface pricing recommendations for unsold units. It runs weekly and presents the sales manager with a ranked list of units where a price adjustment (or a targeted offer) could accelerate sale. This is an advisory tool it generates recommendations with reasoning, and the manager decides whether to act.
Result: data-driven basis for pricing decisions on remaining inventory
Developer and broker portals with advanced search, virtual tour integration, floor plan management, real-time availability, and SEO-optimised listing pages. Built for performance on mobile networks.
Lead capture from all channels, assignment logic, pipeline management, follow-up automation, and conversion reporting. Designed around the workflows of a real estate sales team not a generic sales CRM adapted for real estate.
Post-purchase portals for residential developers: construction progress, payment schedules, document downloads, and service requests. Tenant portals for commercial real estate with rent management and maintenance tracking.
Multi-slab pricing engines that handle floor, facing, and payment plan combinations. Inventory management with real-time availability propagation. Blocking and reservation workflows with auto-expiry.
WhatsApp and web chatbots that qualify inbound leads by asking structured questions, score them by intent and timeline, and route only warm and hot leads to human sales reps so your team focuses time where it matters.
Project location maps with nearby amenity markers (schools, hospitals, metro stations), catchment area analysis for marketing, and location-based lead assignment to territory-specific sales reps.
Whether you're a developer, a broker, or a proptech startup, we've built the full stack listings, CRM, buyer portals, and AI qualification. Let's discuss what you need.