AI voice agents for Retail

Retail chains collect phone numbers at every billing counter but rarely use them beyond SMS blasts customers ignore. Store openings, end-of-season sales and new collections go unannounced to the people most likely to come, click-and-collect orders sit uncollected, and feedback arrives only as an angry online review. Store staff are serving customers on the floor, so calling falls to nobody.

running store-opening, sale and order-pickup campaigns to the chain's opted-in customer base

Cash-on-delivery orders get returned because nobody confirmed them, and abandoned carts are never followed up by voice — only by email nobody opens.

confirming COD orders before dispatch and calling abandoned carts back

High-value enquiries are deeply personal and season-driven, and customers expect to be recognised and called back — but staff on the shop floor cannot chase every enquiry.

following up high-value enquiries within seconds and driving footfall with campaigns

Furniture is a considered purchase made over a few visits: a customer sees a sofa on Instagram, enquires, and wants to sit on it in a showroom before paying tens of thousands of rupees. Stores compete with online furniture brands running aggressive festive sales. Enquiries from ads go cold within a day, and deliveries of made-to-order pieces generate their own stream of missed calls, rescheduling and failed drops at locked flats.

calling every product enquiry within 30 seconds and booking the showroom visit

A pharmacy's best customers are chronic patients — diabetes, blood pressure, thyroid — who refill every month. When a refill slips, they buy from whichever chemist or app is nearest, and the pharmacy rarely notices the loss. Online orders add another leak: cash-on-delivery medicine orders are refused at the door, and orders stall because the prescription upload is missing or unreadable and nobody calls to ask for it.

running monthly refill-reminder campaigns for chronic patients and confirming orders before dispatch