# 8 brands, an AI assistant for each one, live in a month

> Grupo Gino connected its online stores to sales assistants that recommend in-stock products, answer pre-purchase questions and report order status, each one in its own brand voice.

- Success story: Grupo Gino
- Retail / Ecommerce
- URL: https://databot.cl/en/casos-de-exito/grupo-gino

## Key figures

- **8** — Brands with their own assistant
- **5 days** — To get the first brand live
- **1 month** — To get seven brands live
- **97%** — Of inquiries answered by the assistant
- **4.4 / 5** — User satisfaction

## About Grupo Gino

Grupo Gino is the only footwear manufacturer with production in Chile. It has been making shoes for Chileans for more than 40 years, with more than 40 stores across the country and around 1.6 million pairs a year.

Its digital channel consists of eight brand online stores, each with its own audience and style:

- **16 Hrs** (https://www.16hrs.cl/): Women's footwear
- **Pollini** (https://www.pollini.cl/): Leather, quality and design
- **Bruno Rossi** (https://www.brunorossi.cl/): Women's footwear
- **Zappa** (https://www.zappa.cl/): Versatile, on-trend fashion
- **Mingo** (https://www.mingo.cl/): Sandals and casual footwear
- **PZ** (https://www.pz.cl/): Footwear, clothing and gear for the whole family
- **Panama Jack** (https://www.panamajackchile.cl/): Rugged leather and outdoor
- **Doxie** (https://www.doxiechile.cl/): Footwear

## The challenge

Eight brands mean eight catalogs, eight tones of voice and the same questions on every site: what size should I get, is it in stock, where is my order, how do I make an exchange.

- **Large, ever-changing catalog:** thousands of products refreshed every season.
- **Heavy after-sales demand:** constant questions about shipping, exchanges and returns.
- **Sales peaks:** events like Cyber Day and Black Friday multiply traffic.
- **Round-the-clock service:** customers shop at any hour and expect an immediate answer.

## The solution

Databot deployed an AI sales and after-sales assistant for each brand, all managed from a single platform.

- **Recommender connected to the online store:** it reads stock, prices and descriptions in real time. It only suggests available products and groups each model's colors and sizes.
- **Order tracking:** the customer asks about their purchase and the assistant instantly replies with the shipping status.
- **One voice per brand:** each assistant has its own tone and style, warm and familiar at PZ, adventurous at Panama Jack.
- **Start menu:** shortcuts to search for products, track an order or find physical stores.
- **Always up-to-date information:** the assistant syncs with the policies published on each site and with current campaigns.
- **Continuous improvement:** the platform detects the questions the assistant can't answer yet so they can be covered.
- **Web and WhatsApp:** the same assistant serves customers on the website and on WhatsApp, without the conversation losing context.

## Implementation

The first seven brands went live in one month, right in the middle of the year-end season. The eighth joined later in less than two weeks.

- **December 2025:** Project kickoff; 16 Hrs live in 5 days
- **January 2026:** Pollini, Bruno Rossi, Zappa, Mingo, PZ and Panama Jack live
- **May 2026:** Doxie joins as the eighth brand
- **July 2026:** Start menu active across all brands
- **October 2026:** The assistant arrives on WhatsApp

## Results

The assistant answers 97% of the inquiries it receives, with a satisfaction score of 4.4 out of 5. Its main use is product search: it works like a salesperson, not just an FAQ.

- **97% of inquiries answered** by the assistant.
- **4.4 / 5 satisfaction** average user rating.
- **Purchase intent first:** almost half of the interactions from the start menu are product searches.
- **24/7 service across eight brands,** managed from a single platform.