Live autonomous systems processing real business operations in hospitality — plus the BI practice, built on public datasets, that keeps the analytical muscle behind every engagement sharp.
Our SaaS product for hotels — AI concierge & front desk automation · plans on the product site
Situation. Two boutique properties (24 rooms each) in Bareilly and Ramnagar ran every booking confirmation, guest query, and escalation through a human front desk — at all hours, across every channel.
Bottleneck. Staff hours sank into repetitive confirmations and lookups, after-hours queries waited until morning, and the owner was the escalation path for everything.
The system. An autonomous AI concierge now handles guest conversations end-to-end: real-time booking confirmations, guest memory that recalls past stays and preferences, automated check-in/checkout sequences — and when something crosses a threshold (occupancy drop, payment delay), the owner gets one Telegram alert with the context attached.
Impact. 100+ administrative hours eliminated every month across both properties, 24/7 guest response, zero manual intervention — running continuously in live production.
Your P&L, customer lists, and pricing data never leave the building. ReportAI is a local-first Business Intelligence engine that runs analyst-grade frameworks — customer segmentation (RFM/CLV), pricing margin waterfalls, supply-chain analytics, risk scoring, competitor benchmarking, and structured SOP generation — entirely on-device, with zero cloud dependency. Built for businesses where data sovereignty is non-negotiable.
Student housing and hostel inventory engine built for Greater Noida's high-density student market. Relational database architecture tracking occupancy lifecycles, booking workflows, and capacity allocation — the operational backbone for a local housing operator.
The analytics muscle behind every automation engagement, kept sharp on public datasets — Netflix content analytics, Costco operations reporting, Decathlon acquisition funnels, Cetaphil marketing analysis, and industrial factory asset-downtime tracking. Advanced DAX, data modeling, and ETL pipeline design practiced here on open data, then applied to live client operations in every engagement above.
Built for how Indian businesses actually run — native ₹ currency handling, GST reconciliation tracking, UPI transaction states, and operating models matched to Indian MSME realities. No retrofitted Western templates.