Shoppers helped before and after checkout

AI agents for brands and retailers that help shoppers pick the right size, close sales on WhatsApp, answer "where is my order" and run returns by your policy. They work on the storefront, OMS and couriers you already use.

Discovery · Carts · Tracking · Returns · Stock

01 In short

What does Exyconn build for retail and e-commerce?

AI for retail is a group of agents that handle the questions and chores around every order: helping a shopper choose, recovering a cart on WhatsApp, answering where a parcel is, booking a return pickup and warning you before a bestseller runs out. Exyconn designs, builds and runs them on your storefront (Shopify, WooCommerce or your own), order management system and courier aggregator. Your support team handles the cases that need judgement.

Why retailers are doing this now

  • Shoppers already ask product questions on WhatsApp and Instagram, and expect a reply before they close the tab.
  • Order-status questions make up a large share of support tickets, and the answer is already sitting in the courier feed.
  • On cash-on-delivery orders, a quick confirmation message before dispatch can stop a parcel coming back unopened.
  • Returns and exchanges cost twice: the reverse shipment and the hours spent agreeing what happens next.
  • Stockouts on bestsellers and dead stock on slow lines both start as a forecast nobody had time to make.

Does the linen kurta come in M? The one in olive

Hi Meera! Olive is in stock in M and L. Your last kurta from us was an M and you kept it, and this one has a similar fit. It's ₹1,890.

Ok. Can I pay on delivery?

Yes, cash on delivery is available for your pin code. Here's a checkout link with the M added to your cart. Delivery is estimated for Thursday.

Done, ordered

Thank you! I'll send the tracking link here once it's packed.

A shopper asks about sizing; the agent checks stock, recommends a size from her past order and shares a checkout link.

02 The reality

Where a store's hours actually go

Ask anyone running a D2C brand or a chain of stores. The list is long, and almost none of it is selling.

03 Use cases

Six jobs AI takes off your team's plate

04 A day with it running

One day at a D2C apparel brand

Follow a weekday in the run-up to a sale. Each moment lights the part of the store the agent is working on.

  1. 08:00

    Last night's COD orders confirmed

    Overnight COD orders get a WhatsApp check of address and intent. Two shoppers cancel, one fixes a wrong pin code, and only confirmed orders go to the warehouse.

  2. 10:30

    Tracking questions answered in the chat

    A run of "where is my order" messages gets live courier status in reply. One failed delivery is rescheduled for the evening with the customer's new landmark.

  3. 12:45

    A shopper finds the right fit

    A visitor asks which jeans suit a taller frame. The agent suggests two fits with the longer inseam, both in stock in her size, and she checks out.

  4. 15:10

    An exchange instead of a refund

    A customer says the shirt is tight. The agent confirms it is within the window, offers the next size up and books a pickup that brings the new one.

  5. 18:00

    Back in stock, to the right people

    The restocked olive kurta goes out only to customers who asked to be told. The agent also drafts a reply to a two-star review about late delivery.

  6. 22:30

    A reorder list before the sale

    Sell-through on the week's bestsellers is projected against the sale dates. The buyer wakes up to a reorder list by size, ready to approve or edit.

05 How it connects

Built on the systems you already run

Built on the systems you already run Where shoppers talk: WhatsApp, Site chat, Instagram DMs. AI agents: Shopping guide, Order support, Stock planner. Your systems: Storefront, OMS & warehouse, Courier & payments. People in charge: Support handover, Refund approvals, Audit log Where shoppers talk WhatsApp Site chat Instagram DMs AI agents Shopping guide Order support Stock planner Your systems Storefront OMS & warehouse Courier & payments People in charge Support handover Refund approvals Audit log
Built on the systems you already run

06 By business

What it looks like for your kind of store

Your own site, your own customers

D2C brands

Brands that sell mostly through their own site gain the most on both ends of the order. We usually start with order tracking and COD confirmation, then add pre-sale help and cart recovery.

  • Works with Shopify, WooCommerce or a custom store
  • COD confirmation and failed-delivery follow-up
  • Cart recovery on WhatsApp for opted-in shoppers

Many channels, one inventory

Marketplace sellers

When orders come from your site and several marketplaces, the agents work from one order and stock view, so customers on your own channels get accurate answers and reorders account for every channel.

  • Order and stock data from your OMS across channels
  • Forecasts that include marketplace sales
  • Support for your own site and WhatsApp customers

Stores and online together

Omnichannel retailers

Retailers with physical stores connect POS and online stock, so the agent can tell a shopper which store has her size, reserve it, and handle returns bought online and brought back in store.

  • Store-level stock checks and reservations
  • Returns across online and in-store purchases
  • Reporting by store, channel and category

07 Rollout

Live before your next sale

We start with the questions your support inbox gets most, which is almost always order status.

  1. 01 · Week 1

    Read the inbox

    We go through a sample of real tickets and chats, list your storefront, OMS and courier setup, and agree your return policy and handover rules in writing.

  2. 02 · Weeks 2–3

    Tracking and COD first

    Order tracking and COD confirmation go live on WhatsApp and site chat, with your team checking replies in the first days.

  3. 03 · Weeks 4–7

    Add selling and returns

    Product discovery, cart recovery, returns and campaign messages are switched on one at a time, each with its own approval rules.

  4. 04 · Ongoing

    Run and improve

    We review conversations, retrain on missed questions, update the agent before each sale and add stock forecasting once there is enough clean history.

08 Related

09 FAQ

Questions retailers ask us

Does this replace our customer support team?

No. It takes the routine questions such as order status, sizes and return windows, and passes damaged goods, payment disputes and unhappy customers to your team with the order and the conversation attached.

Which platforms can it connect to?

Storefronts such as Shopify and WooCommerce, order management systems, courier aggregators, payment gateways and POS systems, as long as they have an API or a dependable export. We confirm exactly what your stack allows in the first week.

Can the agent issue refunds on its own?

Only if you decide it should, within limits you set, for example store credit on items under a certain value. By default it collects the details and photos, and a person approves the refund.

Can customers write in Hindi or Hinglish?

Yes. The agent replies in the language and mix the customer uses, including Hinglish and other Indian languages, and your catalogue and policies stay written once.

Is customer data handled properly?

Order and contact data stay in your systems and an environment set up for your store, with role-based access and an audit log. Marketing messages go only to customers who opted in, and the setup follows India's DPDP Act 2023 and the Consumer Protection (E-Commerce) Rules, or the GDPR for European customers.

What does it cost?

It depends on order volume, channels and the systems we connect. Most stores start with order tracking and COD confirmation at a fixed price for the first phase. Tell us about your store and we'll quote it.

Next step

Share a week of support tickets

We'll show how many an agent could have closed using your order and courier data, and what it takes to connect it. No obligation.