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WhatsApp and CRM automation for D2C brands

Order status, cash-on-delivery confirmation and return requests handled on WhatsApp, with refunds and complaints always reaching a person.

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On this page (11 sections)
  1. Which repetitive work weighs down D2C support?
  2. Which D2C workflows can be automated?
  3. What should a D2C agent never do alone?
  4. How does the October 2026 WhatsApp pricing change affect D2C brands?
  5. Which tools does this connect to?
  6. How is the agent team put together?
  7. What should you prepare before talking to us?
  8. How do you know whether the pilot worked?
  9. How does a pilot with us work?
  10. Related reading
  11. Questions
Demo app recording, sample data only: store inbox: an agent answers sample order-status questions with tracking details and escalates a damaged-item claim
Demo with sample data

Which repetitive work weighs down D2C support?

D2C brands in India run heavily on WhatsApp. The same handful of questions dominates: "Where is my order?", "Can I change my address?", "How do I return this?", "When will my refund come?" Add cash-on-delivery (COD) confirmation calls, exchange requests and festive-season spikes, and a small support team spends most of its day on lookups and copy-paste.

Which D2C workflows can be automated?

  • Order status: the customer shares an order number or phone number; the agent fetches live status and tracking from your store and courier, and replies in one message.
  • COD confirmation: after a COD order, an approved utility template asks the customer to confirm with a button. Unconfirmed orders are flagged for a call before dispatch.
  • Address changes: captured and passed to operations before dispatch, not edited automatically.
  • Return and exchange requests: the agent collects the order, item, reason and photos, checks eligibility against your written policy, and drafts a decision for approval.
  • Refund status: answered from your payment or refund records.
  • Product questions: sizing, materials and care, answered from your approved catalogue content.
  • Tagging and routing: complaints, damaged items and influencer or bulk enquiries go to the right person.

What should a D2C agent never do alone?

  • Issue refunds, discounts or store credit
  • Approve returns outside the written policy
  • Argue with an upset customer: complaints go to a person immediately
  • Respond to messages mentioning fraud, chargebacks, consumer forums or legal action
  • Promise delivery dates the courier hasn't confirmed

These form the core of the stop rule we write for D2C pilots.

How does the October 2026 WhatsApp pricing change affect D2C brands?

High-volume order support is exactly where service message charges add up. We design flows to answer in fewer messages, use buttons, and send transactional updates as utility templates. See our pricing explainer.

Which tools does this connect to?

Commonly Shopify or WooCommerce, a courier aggregator, a WhatsApp platform (WATI, AiSensy, Interakt or the Cloud API), and a CRM or helpdesk. See Shopify order updates on WhatsApp.

Illustration only, not a client project: A Bengaluru apparel brand. A customer writes "ordered kurta last week still not here". The agent finds the order by phone number, sees it's out for delivery, and replies with the tracking link. Another customer asks to return a dress that doesn't fit: the agent collects the photo and reason, checks it's within the return window, and drafts an approval for the support lead, who approves with one click.
Our stop rule

The agent drafts, routes and escalates. A person decides. Before anything is built we write down what the agent may do alone, what needs approval, and when it must stop and hand over with the full context attached.

How is the agent team put together?

Every team we build uses the same architecture: a team lead agent that plans and assigns work, specialist agents with narrow jobs and permissions, a shared task board where every task and approval is visible, tools and connectors limited to what each agent needs, scheduled routines for recurring checks and reports, and approval gates wherever money, customers, data or irreversible changes are involved. Every action is logged, live systems are backed up before edits, and a daily summary arrives in chat so a person always knows what happened.

It is the same pattern we use in-house for our 14-bot SEO team, ads agent and site ops agent on the owner's own businesses (in-house systems, not client results). For a new team we start small, usually a specialist, a reporter and the team lead, and add agents only once the first ones are trusted. See how we build agent teams and real in-house use cases.

What should you prepare before talking to us?

You don't need a technical brief. A useful first conversation needs only a few things, and gathering them is valuable even if you never work with us:

  • The process in plain words: what triggers it, who does what, and where it usually goes wrong.
  • Rough volumes: how many messages, orders, tickets or invoices per week. A one-week tally is enough.
  • Your tools: WhatsApp app or API, CRM, sheets, accounting or helpdesk software, including versions or plans where you know them.
  • Three real examples: typical messages or cases, plus one awkward one, with personal details removed.
  • What must never happen: the mistakes that would hurt most. These become the first lines of your stop rule.
  • An owner: the person who will review the workflow once it runs.

Send these on WhatsApp or by email, or run the pilot scorecard first.

How do you know whether the pilot worked?

We agree the success measure before building, and it should be something your team can count without a dashboard project. Typical measures include the share of enquiries logged the same day, time to first response, the number of follow-ups that actually happened, hours spent on the task per week, or the number of escalations that were correctly flagged. We count the baseline before launch (even by hand for a week) and again after a few weeks of running.

We also review the qualitative side with the people involved. Do they trust the drafts? Are handovers arriving with enough context? Are customers asking for a person more or less often? A pilot can hit its number and still need tuning, or miss it and teach you something important. Either way, the decision to keep, tune, expand or stop is yours, made on evidence. We don't publish generic success figures, because results depend on your process, volumes and team.

How does a pilot with us work?

Every engagement follows the same four steps. Consult: you walk us through the process, the tools and where it breaks. Pick the pilot: we choose one workflow and write down its inputs, outputs, tools, stop rule and success measure. Ship: we build it into the tools you already use and test it on real cases. Review: your team checks what the agent did and what it escalated, then decides whether to tune it, expand it or stop. Read the full pilot process.

Questions

Can the bot handle Hinglish messages?

AI understanding handles mixed-language messages well, and we test with real examples from your chats.

Will this work with our existing WhatsApp platform?

Often yes. We build around your current platform where its APIs allow. See agency vs platform.

Can it send abandoned-cart messages?

Yes, to opted-in customers using approved marketing templates. Note that marketing messages cost the most per message.

Next step

Start with one workflow

Tell us which process eats your team's time. You'll get an honest view of whether it's worth automating and what a first pilot would look like.

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Demo with sample data. Scroll or pinch to zoom. Press Esc to close.