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

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