How Volix helped a company reduce its quotation time from 1 week to just 5 minutes

Volix has structured a plan based on automation and artificial intelligence to optimize the quotation flow. The approach followed six main stages:

1. understanding and deepening the challenge

• Survey of difficulties in the quotation flow.
• Identification of operational bottlenecks and critical points in response times.

2. Requirements research and analysis

• Definition of the needs of the automated quotation system.
• Survey of essential functionalities to improve efficiency.

3. Data Collection and Preparation

• Structuring the database with the SKUs in the portfolio.
• Standardization of information to ensure greater precision in pricing.

4. Model Development and Training

• Implementation of machine learning algorithms for automated pricing.
• Fine-tuning the models to ensure high precision and speed in generating quotes.

5. API Integration and Cloud Deployment

• Connecting the automated system to the company’s sales flow.
• Implementation of a scalable and secure cloud environment.

6. Testing and Validation

• Pilot implementation to validate the assertiveness of the models.
• Monitoring and adjustments before large-scale implementation.