Arjun Paul runs Zoko, helping e-commerce brands handle WhatsApp at scale. One of his customers gets 82,000 messages a month — three specialized bots (one for order tracking, one for FAQs, one for sales) now handle 75% of those chats before a human ever sees them. The team finally has time to work on the chats that actually make money. This episode walks through the three-bot architecture, the pricing logic that justifies the cost, and why none of this worked six months ago. In this episode: * Why WhatsApp converts at ~30% vs ~3% on a website — and why that creates a support flood worth solving * The breakdown of 82,000 monthly messages: 40–60% asking “where is my order?”, another 40% repeated FAQs, 20% sales * Three specialised bots — Wismo (order tracking), Guru (FAQ), Sello (sales) — and why one-task agents beat general ones * What actually changed six months ago: the base models got good enough, not their fine-tuning * The headline numbers: Wismo deflecting 52% of all chats with 93% resolution * How Zoko prices the bots — hours saved × local labor rate × typing speed, not tokens * The free-trial-then-bill playbook: run it free for three months, customers can’t go back to humans after that * Guardrails: the handover protocol, refusing off-topic queries, the private-note transparency loop * What good looks like for FAQ bots: business owners seed ~500 questions, resolution climbs from 70% toward 90% * The next frontier: bots that actually sell — taking orders in Urdu, sending checkout links, doing outbound * Setup for Shopify merchants: one click to enable Wismo Timestamps: * (00:00) — Cold open: 82,000 messages, three bots, 75% handled without a human * (00:39) — Paint the old world: what was broken on WhatsApp support * (00:54) — Why support floods WhatsApp: 30% conversion vs 3% on websites * (02:30) — Bucketing incoming chats with an LLM; “where is my order?” is 40–60% of messages * (03:30) — Customers check order status ~4 times before delivery, across every market * (04:10) — The three-bot architecture: one agent, one task, one outcome * (05:18) — The 82,000-messages-per-month customer * (06:49) — Why specialized bots win: 40% Wismo, 40% Guru, 20% sales * (07:27) — What actually changed in six months: base models got better, not the fine-tuning * (08:37) — The headline number: Wismo handled 52% of all chats, resolved 93% of them * (10:14) — Pricing logic: hours saved × hourly rate × 45 seconds per message * (11:50) — The free-trial close: run it on for three months, then have the pricing conversation * (13:19) — Measuring resolution: the 80% threshold that made it sellable, two years to get there * (16:08) — Handover protocols and refusing to answer off-topic questions * (17:00) — Meet Guru: the FAQ bot at 70% resolution and how to push it toward 90% * (19:33) — Measuring quality with private notes: how Zoko earns customer trust on resolutions * (20:45) — The work the business owner has to put in: ~500 seed questions for the knowledge base * (23:08) — What’s next: bots that sell, take orders in Urdu, do outbound marketing * (25:53) — Setup: one click to enable Wismo and Guru inside Zoko * (26:46) — Why Shopify: connecting orders and catalog into the WhatsApp screen * (29:56) — The benchmark customer: 45% Wismo + 30% Guru = 75% of chats handled by AI Resources & Links: * Zoko * Shopify Connect with Arjun Paul * LinkedIn This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit shippingwithai.substack.com
