70% of Your WhatsApp Support Queries Resolved Automatically — in Hindi and English

The most common tasks for Indian businesses: answering WhatsApp order status queries (live from Shopify), sharing Shiprocket tracking links on demand, answering return and exchange policy questions, sending GST invoices from Tally on WhatsApp, confirming Razorpay payment receipts, booking appointment rescheduling for clinics and services, answering FAQ questions about products, pricing, and policies, and routing complex queries to human agents with full context. If your support team answers the same 10 questions more than 20 times a day, an AI support agent can handle 70%+ of those automatically.

A scripted chatbot works only if customers click the expected buttons and breaks the moment someone types naturally. An AI customer support agent understands natural language — 'where is my parcel', 'mera order kab aayega', 'show me my GST invoice' are all understood and answered accurately, using live data from your systems. The AI also handles follow-up questions within the same conversation without requiring the customer to restart.

For D2C e-commerce businesses, 65–75% deflection within 30 days of deployment is typical — meaning 65–75% of WhatsApp queries are fully resolved by the AI without any human involvement. B2B distribution businesses see similar rates, often higher because the queries are more predictable (stock levels, order status, invoice requests). Healthcare and financial services tend to see lower deflection (50–60%) due to compliance requirements for human sign-off on some query types.

Every AI support agent includes a confidence threshold and escalation path. When the AI is not confident in its answer, it says so honestly and routes the customer to a human agent in Freshdesk or Zoho Desk — with the full conversation transcript and a context summary so the agent does not ask the customer to repeat themselves. You control the escalation threshold, routing rules, and the human agent assignment logic.

Yes — WhatsApp is our primary India support deployment. We build on Interakt, Wati, or AiSensy (all Meta-approved BSPs) with live Shopify, Shiprocket, and Razorpay integration so the bot can answer real questions about real orders. The bot handles inbound WhatsApp messages 24/7, responds in Hindi or English, and escalates to your team via a Freshdesk ticket or direct WhatsApp notification when it cannot resolve a query.

Yes. Using WhatsApp template messages (Meta-approved), the AI can proactively send: order shipped notifications with tracking links, payment receipt confirmations, appointment reminders, and follow-up messages to customers who have open queries. We build these proactive triggers alongside the reactive support flows, so customers receive proactive updates before they need to ask.

Yes — our Multi-Channel Support Platform covers WhatsApp, embedded website chat widget, and your existing helpdesk (Freshdesk or Zoho Desk) from a single AI knowledge base. Customers on your website get the same accurate responses as customers on WhatsApp, and all conversations flow into a unified inbox for your human agents. One AI model, three channels.

Hinglish handling is standard in our India builds. The AI understands and responds to natural code-switching — a customer asking 'mujhe return karna hai, 3 days ho gaye' gets the same accurate return policy response as one asking 'I want to initiate a return'. Language detection is automatic and works at the query level, not the session level — so mid-conversation switches are handled smoothly.

Yes — GST invoice fetching is a standard feature. We connect the AI to your Tally ERP, Zoho Books, or custom billing system and give it the ability to retrieve invoices by order ID or customer GSTIN. When a customer messages 'please send my GST bill' on WhatsApp, the AI retrieves the PDF and sends it directly in the chat. This is one of the highest-volume support requests for Indian B2B businesses and the AI handles it with zero human involvement.

Yes. We integrate with Shiprocket, Delhivery, Blue Dart, DTDC, and other major Indian logistics APIs. When a customer asks 'where is my order', the AI checks the shipping status live from the logistics API and responds with the current status and expected delivery date. No ticket, no waiting — the customer gets a real answer in under 10 seconds.

We build AI support agents with DPDP (Digital Personal Data Protection Act) compliance in mind: customer data is accessed only via API calls with the minimum permissions required, conversation data is retained per your configured policy, and we document all data flows at handover. For sectors like healthcare and financial services with stricter requirements, we build private deployment options where conversation data never leaves your infrastructure.

Yes — for Shopify and WooCommerce stores, we build return initiation flows where the AI checks your return policy, verifies order eligibility, creates the return request in your system, sends the pickup label or drop-off instructions, and updates the customer via WhatsApp throughout the process. Exchanges follow a similar flow. This eliminates the most time-consuming category of support interactions for D2C businesses.

A focused WhatsApp support bot (one channel, standard integrations) goes live in 2–3 weeks. A multi-channel platform with Freshdesk or Zoho Desk integration takes 4–5 weeks. Enterprise support automation with deep ERP integration takes 6–8 weeks. The biggest variable is knowledge base preparation — if you have well-documented FAQs and policies, we move faster.

We can work with almost any format: FAQs in Google Docs, product descriptions from your Shopify admin, policy PDFs, existing support ticket exports from Freshdesk or Zendesk, WhatsApp conversation logs, or even a voice recording of your team answering common questions. We process and structure this content into the AI knowledge base — you do not need to reformat anything specifically for us.

Through the admin dashboard — you upload new content (PDF, Google Doc, text), and the AI reprocesses the knowledge base without any code deployment. Most businesses update the knowledge base during product launches, policy changes, and festival season pricing updates. We build the update interface to be usable by non-technical team members.

You get a dashboard showing deflection rate (queries resolved without human), escalation rate (queries handed to humans), average response time, CSAT scores (if you enable post-resolution feedback), and top unanswered queries (new knowledge gaps to fill). Most clients review this weekly for the first month, then monthly after the AI stabilises. We set up alerts for unusual escalation spikes.

The most direct calculation: count the number of support queries your team handles per day, multiply by the hourly cost of the support agent, subtract the queries the AI will deflect (typically 65–75%), and project monthly savings. For a business handling 100 WhatsApp queries/day with one support agent at ₹20,000/month, the AI pays back in 3–4 months. Secondary ROI: faster first-response times significantly improve customer retention and repeat purchase rates.

LLM API costs (Claude or GPT-4o) are typically ₹3,000–₹12,000/month for 200–500 daily queries. WhatsApp BSP subscription (Interakt/Wati/AiSensy) is charged per message by the provider. FactoryJet charges nothing ongoing unless you choose a monthly retainer for knowledge base updates and optimisation. The AI becomes increasingly accurate over time as we review unanswered queries and expand the knowledge base.

Yes — we build modularly. Start with the WhatsApp Support AI, measure deflection and ROI, then add the website chat widget and Freshdesk integration as a second phase. Incremental additions are priced at the delta, not a full rebuild. Most clients expand to multi-channel within 6 months once they see the deflection metrics from WhatsApp.

Yes. For clients who want to validate before committing, we offer a 2-week pilot: a WhatsApp support bot deployed to a specific product category or customer segment, with real order lookups and FAQ handling. The pilot costs ₹60,000 and is credited against the full project. Seeing the first 100 real conversation transcripts is usually more convincing than any proposal.