AI automation and storefronts for e-commerce and D2C brands
We build WhatsApp order flows, abandoned-cart recovery, AI support agents and fast Next.js storefronts for D2C brands. The goal is fewer support tickets per order and more repeat purchases — automating the questions customers ask before and after buying.
Where D2C brands lose time and money
These are the patterns we see repeatedly in this sector. If none of them describe you, automation is probably not your bottleneck.
Support volume scales with orders, so margin never improves
Every order generates a predictable set of questions — where is it, can I change the address, how do I return this. A team that answers them by hand grows in step with revenue, which means the unit economics never actually get better with scale.
Carts are abandoned in silence
The standard three-email recovery sequence lands in a promotions tab nobody opens. Meanwhile the same customer will read a WhatsApp message within minutes. Most brands are recovering a fraction of what the channel could return.
The storefront is fast on your laptop and slow on a phone
Themes accumulate apps, each injecting scripts. The result loads acceptably on office wifi and badly on the 4G connection most of your buyers actually use — and mobile conversion quietly reflects that.
Systems built for D2C brands
Delivered in this order. Each stage is useful on its own, so you can stop after any of them and still have something that works.
WhatsApp order and support automation
Order status, tracking, returns initiation and address changes handled in the channel customers already use, connected to Shopify, WooCommerce or your own backend so the answers are live rather than a canned reply.
Cart recovery that gets read
Abandoned-cart and browse-abandonment flows over WhatsApp, sequenced to be useful rather than nagging, with the product image and a one-tap return to a pre-filled checkout.
An AI agent that knows your catalogue
A support agent retrieving from your actual product data, size guides and policy pages — so it answers 'will this fit a 38 chest' correctly instead of confidently inventing something.
A storefront built for a phone on mobile data
Next.js front end with a measured performance budget, image pipeline tuned for product photography, and checkout kept off the critical path of any third-party script.
What changes
- A large share of routine post-purchase questions resolved without a human
- Cart recovery moved to a channel with dramatically higher open rates than email
- Mobile page weight and load time cut, which is where conversion is actually lost
- Support headcount decoupled from order volume
Services this draws on
E-commerce & D2C — common questions
The questions we get asked most often by teams in this sector.
Does WhatsApp automation work with Shopify?
Yes. We connect the WhatsApp Business API to Shopify so order status, tracking, returns and cart recovery all read live store data. The same integration pattern works for WooCommerce, Magento or a custom backend.
Will an AI support agent give customers wrong answers?
It can, if built badly. We ground the agent in your actual catalogue and policies through retrieval rather than letting the model answer from memory, cap it to topics it has sources for, and hand off to a human the moment it is unsure.
How much does e-commerce automation cost?
WhatsApp and AI support automation starts at around $6,000 to build, with ongoing WhatsApp messaging and model costs depending on volume. A storefront rebuild starts at $4,000. Most brands start with automation because it pays back faster.
Work in e-commerce & d2c?
Tell us which of these problems is actually costing you the most, and we will tell you whether it is worth automating — including when it is not. Email contact.grizzlyminds@gmail.com or start below.