Agents that process refunds, chase carts, reprice on marketplaces, flag fraud, and reorder stock. Not chatbots that answer questions, systems that take actions your ops team was doing at midnight. Built on your Shopify, WooCommerce, marketplace, and logistics APIs.
Someone is opening Shiprocket, checking a courier delay, copy-pasting the tracking link into WhatsApp, then updating the ticket. Someone else is comparing prices on Flipkart against margin rules in a Google Sheet. A third person is reviewing risky orders one by one before dispatch. Every task looks small until you count the hours.
Chatbots reduced reply times. They did not remove the work. Agents remove the work. An agent checks the courier, drafts the refund, triggers the Razorpay reversal, updates Shopify, posts to Slack. Human approves the exceptions.
The economics are simple. If a task costs your team 3 minutes and happens 5000 times a month, that's 250 hours. Roughly two full-time ops staff. An agent doing the same work runs at rupees per hour of compute. The math starts favouring agents at about 500 events a month per workflow.
Not a demo. A running system that touches your store, your logistics, and your payment gateway.
Sit with your ops lead. Walk through the exact steps a human takes today. Identify decision points, escalation triggers, and where policy is fuzzy.
Shopify Admin API, Shiprocket, WhatsApp Business, Razorpay. Each becomes a tool the agent can call. Every call is logged, rate-limited, and reversible.
Refund cap without human approval. Discount ceiling. Fraud score threshold for auto-hold. Written policy that becomes the agent's system prompt and hard-coded checks.
Agent runs in shadow mode for 2 weeks. Drafts actions, logs decisions, human approves. Once accuracy hits 95%+ on the sample, we flip auto-execute for safe cases.
Same agentic backbone underneath. Different tools, guardrails, and escalation rules per workflow.
Customer pings on WhatsApp or email. Agent pulls order ID, hits Shiprocket or Delhivery, checks delay against SLA, drafts response with tracking link. Escalates only if courier is stuck 48+ hours.
70% self-serve rateVerifies policy eligibility (window, category, condition rules), initiates Shiprocket reverse pickup, updates Shopify order, triggers Razorpay refund on receipt confirmation, closes ticket. Escalates high-value or repeat cases.
3-day SLA held at scaleWatches cart events, segments buyer (new vs repeat, cart value, price sensitivity from past orders), sends personalized WhatsApp within 30 minutes, decides discount inside your margin rules. Not a template blast.
15-25% recovery liftReads stock levels across warehouses, factors in sell-through velocity and lead time, drafts POs for suppliers. Auto-sends for pre-approved SKUs under threshold. Alerts humans for anything above your comfort cap.
Stockouts down 40%Segments buyers by first purchase, browses catalogue for logical add-ons, drafts WhatsApp or email campaigns with copy, offer, and target list. Marketing lead approves in Slack, agent schedules the send.
2-4% incremental AOVScans competitor prices on Amazon and Flipkart every 30 minutes, checks your margin floor and buy-box status, adjusts within rules. Logs every change. Alerts if competitor drops below your cost.
Buy-box hold up 25%Scores incoming orders on velocity (same card, multiple accounts), geo mismatch (billing vs delivery vs IP), device fingerprint, and payment signals. Auto-holds risky orders before dispatch. Human reviews the flagged pile.
Chargebacks cut 30-50%Reads inbound ticket, classifies intent, checks order and customer LTV, drafts L1 response, routes complex or high-value queries to human agents with full context. No more agents starting from scratch on every ticket.
First reply under 2 minThese agents talk to each other. Refund agent tells fraud agent about repeat return-fraud accounts. Cart agent asks inventory agent before offering a discount on low-stock SKUs. One graph, shared memory.
Built on LangGraph15-minute call. Tell us your platform, monthly order volume, and the top-3 tasks your ops team hates. We come back with a ranked list and a pilot scope with fixed price.
Book Free 15-min CallBoring choices, mostly. We pick tools that will still exist in three years.
BookMySMS is our own product. Bulk WhatsApp, SMS, and email for Indian businesses. It runs template approvals, delivery reports, opt-out handling, and retry logic at scale. Every quirk of the Meta and Indian telecom stack, we hit first.
That matters because most agent projects fail on integration, not on model quality. The refund logic is fine, the WhatsApp template gets rejected. The repricing math works, the marketplace API rate-limits at 3pm. We ship agents that survive contact with production because we run production ourselves.
Beyond BookMySMS, our team has shipped AI systems for Indian legal tech (VakeelSaathi RAG on 50k+ documents), compliance (dcomply document review), and property ops (Realzent). The pattern is the same. Boring reliable integrations, tight guardrails, monitored evals, human-in-loop where mistakes are expensive.
Workflow map, API audit, ranked list of which agents pay back fastest for your business.
One agent, single workflow. Shadow mode for 2 weeks, then auto-execute on safe cases. Written eval report.
3-6 agents across order, refund, cart, fraud, support. Multi-agent orchestration, guardrails, human-in-loop, dashboards.
Model API costs, eval runs, policy updates, incident response, new agent additions. We stay on-call.
Book a 15-minute call. Tell us your platform, order volume, and the tasks eating your team's hours. We come back with a pilot scope and fixed price within 48 hours.