The project
The collaboration with Chiper contributed to customer satisfaction. Automating critical workflows through the ASIS bot enabled better management of customer interactions. WhatsApp sales increased. With the AI models implemented, the conversion rate grew, meeting expectations and demonstrating a positive impact on the business.
Yeison Zamora, Product Owner, Chiper
The challenge
Optimize product recommendations in neighborhood stores. We implemented a collaborative filtering model to improve the accuracy of suggestions, generating more efficient orders. We also aimed to improve the ASIS bot, enabling more intuitive and effective interactions to increase customer satisfaction and efficiency.
The solution
Chiper received a comprehensive solution on GCP using cutting-edge technology. Dialogflow was used to improve and optimize the ASIS bot, generating accurate, natural interactions for users. VERTEX AI and GEMINI API were implemented for AI messaging models targeting customers with infrequent purchases. A collaborative filtering model was also developed to optimize product recommendations.
Project results
Automating important workflows, such as order tracking and cancellations, reduced the contact rate by 3 percentage points, from 10% to 7%. Sales through WhatsApp also grew, increasing from 0.8% to 1.1%. The conversion rate reached more than 74%, 10 percentage points above the treatment group.
