Work That Speaks for Itself.

The Challenge

A retail chain with over 600 outlets across India had built a strong WhatsApp marketing operation — dedicated teams, active customer conversations, high engagement. But when customers asked to book through the same chat, the chain had no answer. Their technology vendor had been trying to solve it for over a year. The problem: connecting a live, dynamic inventory system to an ongoing WhatsApp conversation in real time — and doing it in the customer's own language, whether that was Tamil, Hindi, Bengali, or any of 15 others.

The Solution

We built a WhatsApp-native booking engine that checks live inventory and confirms availability within the conversation flow. SARVAM AI's language models handle 18 Indian languages natively — customers type or speak in their own language and the system responds in kind. The entire platform was designed, built, and deployed in under 30 days. Today it runs without interruption across every outlet in the chain.

The Challenge

The agency started on spreadsheets — manageable at small scale, impossible to grow with. They evaluated Salesforce, then Freshdesk. Both were too complex for their operations team to configure independently, and the USD-denominated pricing made the numbers hard to justify. Their business was growing; their tools kept blocking it. They needed a system that matched how their agents actually worked — in the field, on mobile, across multiple cities.

The Solution

We deployed FlowHub across their operations. Every agent got a mobile app with live visibility into their own targets and incentive calculations, drawn directly from the company's accounts system — no more end-of-month surprises. Management receives automated performance reports on WhatsApp. The SLA engine tracks every customer interaction and surfaces overdue accounts automatically. When they opened four new branches, there was nothing new to configure — the system scaled with them.

The Challenge

A manufacturer's sales team was spread across several cities, coordinating entirely through phone calls and daily office meetings. Orders were delayed because the back-office team spent hours each day decoding informal voice notes — figuring out what was a lead, what was an inquiry, and what needed a purchase order. Their ERP (Tally) sat at the centre of operations with no connection to the field. Every order required a trip to the office or a phone call that someone else had to transcribe.

The Solution

We built FlowHub as the bridge between Tally and the field team. Each salesperson works from a mobile app: leads, BOQ entries, delivery updates, and payment follow-ups are entered once and flow directly into the right system. For voice messages sent over WhatsApp, SARVAM AI's speech-to-text model transcribes and classifies each message automatically — a voice note becomes a structured purchase order, inquiry, or lead record in the correct Tally module within seconds. The back-office team's daily transcription work dropped to near zero.

The Challenge

Every incoming shipment at this warehouse arrived with a printed invoice. Staff would take each hardcopy and enter it manually into the ERP — navigating multiple modules, one field at a time, for every document. Three to four people were permanently assigned to this task at each gate. The process was slow, error-prone, and bottlenecked the entire inbound operation. Scaling throughput meant hiring more data entry staff — which wasn't viable. Compliance requirements added another constraint: invoice data could not be processed through any external cloud service.

The Solution

We deployed a mobile capture application at every gate. Staff photograph the printed invoice; an on-premises AI model extracts all key fields in 30 to 45 seconds; the operator reviews the extraction and approves it; the record propagates simultaneously to every relevant ERP module in a single action. The entire system — the AI model, the application server, all document storage — runs inside the company's LAN on their own data centre hardware. No internet connection is required or used. Access is controlled with two-factor authentication. Every document and every record stays within their walls, clearing all compliance requirements without any external dependency.

The Challenge

A multi-location retail and hospitality brand needed a loyalty platform that could process point accumulation and redemption in real time — across every outlet, during peak promotions, flash sales, and high-traffic seasons — without ever failing a customer at the point of sale. Previous loyalty solutions had failed under load. The requirement was unambiguous: the system must not go down. Ever.

The Solution

We designed and built a microservices-based loyalty engine with multi-region deployment and real-time rewards processing architecture. Every component was built with failure isolation in mind — no single point can take the platform down. The system processes over 100,000 transactions daily, handles multi-region redundancy transparently, and has maintained its uptime record without interruption across more than four years of continuous operation.