SUCCESS STORY

Automating customer service from WhatsApp

AST Roll Cages has incorporated an artificial intelligence assistant connected to its ERP to answer queries, recommend products, and provide information about orders in real time, directly from WhatsApp.

AST Roll Cages logo
Customer of AST Roll Cages consulting the WhatsApp assistant from their mobile

The challenge

Customers of AST Roll Cages use WhatsApp to resolve all their questions: check the status of an order, find the appropriate roll cage, or request information about a product.

Each conversation required a team member to interrupt their work to access the ERP system, locate the information, and respond manually. A repetitive process that consumed business time.

Key challenges

The solution

We developed an artificial intelligence assistant integrated directly into WhatsApp Business and connected to the AST Roll Cages ERP.

The assistant understands each query, retrieves the necessary information in real time, and responds automatically in the customer's language.

When it detects a conversation that requires human intervention, it routes the conversation to the appropriate team.

WhatsApp Business

AI Assistant from Deveco

ERP

Customer response

How it works, step by step

Tech stack

Do you want results like this in your company?

Tell us about your case. We’ll give you a first assessment without obligation in less than 24 hours.

Other cases that may interest you

Logo of the Central Bus Station in Zaragoza

AI-based telephone assistant

Zaragoza Central Bus Station

The team received many repetitive calls asking about schedules and routes. Now HeyLaia, the AI assistant automatically answers those questions by phone, 24 hours a day, and only passes the call to a person when necessary.

Logo of EVAR-Twin
Logo of EVAR-Twin

AI and digital twins

EVAR-Twin

Evaluating the risk of thrombosis after an aortic surgery requires combining imaging tests, anatomical models, and simulations that are expensive and difficult to integrate into daily practice. Now a digital twin of the patient themselves automates the entire process, from image segmentation to risk prediction.