Results That Speak for Themselves

Challenge

An e-commerce platform handling 500+ daily support tickets was struggling with cart abandonment rates above 75% and an overwhelmed support team. Response times averaged 4 hours, causing customer frustration and lost sales.

Solution

We deployed an AI shopping assistant and support bot on WhatsApp and their website. The AI handles order tracking, returns, product questions, and cart recovery messages — with automatic human handoff for complex issues. Integrated directly with their Shopify store for real-time order data.

Challenge

A multi-specialty clinic with 15 doctors was spending 40 minutes per patient on manual intake, paperwork, and insurance verification. No-show rates of 28% were costing significant revenue and disrupting schedules.

Solution

We built an AI patient intake and appointment management system — automated scheduling via WhatsApp, digital intake forms, insurance pre-verification, and a multi-channel reminder system. Integrated with their existing EMR system via FHIR API.

Challenge

A Singapore-based SaaS company needed to ship a major product update in 8 weeks but lacked the engineering capacity. Local hiring would take 3–4 months and cost 3× as much. They had a hard deadline tied to a key customer contract.

Solution

We onboarded 8 senior React and Node.js engineers within 10 days. The team integrated with existing Jira, GitHub, and Slack workflows immediately. Daily standups with the CTO ensured alignment. All 8 engineers were productive from Day 1 — no ramp-up delay.

Challenge

A logistics company processing 2,000+ invoices per month had a 5-person AP team spending 80% of their time on manual data entry and verification. Error rates of 8% were causing payment delays and vendor disputes.

Solution

We built an AI invoice processing system using document intelligence — automatically extracting data, matching purchase orders, validating against contracts, and routing for approval. Integrated with their SAP ERP system. Edge cases flagged for human review with full context.

Challenge

A FinTech startup needed to build an AI-powered credit risk assessment engine to demonstrate to Series A investors. They had 3 months, a small technical team, and needed enterprise-grade output from a startup budget.

Solution

We built a machine learning credit risk model using alternative data sources — transaction patterns, GST filing history, bank statement analysis, and behavioral signals. Built a clean API and dashboard for the investment pitch. Full technical documentation for investor due diligence.

Challenge

A 50-outlet retail chain in Tamil Nadu was losing customers to online competitors. They wanted a loyalty app with personalized offers, in-store navigation, and seamless online-to-offline purchasing — but their previous vendor had failed to deliver after 6 months.

Solution

We delivered a complete React Native app for iOS and Android in 10 weeks — with loyalty program, AI-powered product recommendations, in-store beacon navigation, and unified online/offline cart. Integrated with their existing POS system.