{"id":53618,"date":"2025-06-25T06:52:20","date_gmt":"2025-06-25T06:52:20","guid":{"rendered":"https:\/\/www.bravent.net\/?post_type=portfolio&p=53618"},"modified":"2025-08-20T11:52:13","modified_gmt":"2025-08-20T11:52:13","slug":"mecanicas-aparicio-production-time-prediction-analytical-chatbot","status":"publish","type":"portfolio","link":"https:\/\/www.bravent.net\/en\/success-stories\/mecanicas-aparicio-production-time-prediction-analytical-chatbot\/","title":{"rendered":"Mec\u00e1nicas Aparicio | Production Time Prediction and Analytical Chatbot"},"content":{"rendered":"

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Production Time Prediction and Analytical Chatbot<\/h1>

MEC\u00c1NICAS APARICIO<\/span><\/strong><\/h3>\n<\/div><\/div><\/div><\/div><\/section>[\/vc_section][vc_section full_width=”stretch_row” css=”.vc_custom_1750834266810{margin-top: 0px !important;margin-right: 0px !important;margin-bottom: 0px !important;margin-left: 0px !important;padding-top: 0px !important;padding-right: 0px !important;padding-bottom: 0px !important;padding-left: 0px !important;background-color: #020726 !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}”]
Mec\u00e1nicas Aparicio is a company based in Zaragoza that specializes in laser cutting using state-of-the-art machinery, with extensive experience in machining: bending, guillotining, and welding.<\/span><\/div><\/div><\/div>

Client:<\/span> Mec\u00e1nicas Aparicio\u00a0<\/span><\/p>\n

Servicices: <\/span>Predictive model with XGBoost to predict manufacturing times and an analytical chatbot based on LLMs to answer questions about production in a natural <\/span><\/span><\/p>\n

Technologies:<\/span>\u00a0XGBoost, Large Language Models (LLMs), Python, cross-validation, and grid search.<\/span><\/span><\/p>\n<\/div><\/div><\/div><\/div><\/section>[\/vc_section]

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\nJos\u00e9 Enrique Aparicio, General Manager at Mec\u00e1nicas Aparicio SL –<\/strong>
\n“At Mec\u00e1nicas Aparicio, we have always been committed to innovation as a driver of continuous improvement. The proposal presented by Bravent represents a significant advance in how we understand and manage our production. The combination of predictive models with intelligent analytical tools opens up new possibilities for optimizing resources, reducing times, and making more informed decisions. This type of solution allows us to envision a future where efficiency and quality go hand in hand, strengthening our competitiveness in the sector.”\n<\/p><\/blockquote>\n<\/div>[vc_empty_space]<\/div><\/div><\/div><\/section>[vc_section full_width=”stretch_row” css=”.vc_custom_1635929310178{margin-top: 0px !important;margin-right: 0px !important;margin-bottom: 0px !important;margin-left: 0px !important;padding-top: 0px !important;padding-right: 0px !important;padding-bottom: 0px !important;padding-left: 0px !important;background-color: #dadd02 !important;}”]

Automation and Optimization of Production at Mec\u00e1nicas Aparicio<\/span><\/div><\/div><\/div><\/section>[\/vc_section]
The
Challenge<\/span><\/div><\/div><\/div>

Mec\u00e1nicas Aparicio<\/a> faced significant challenges in its production due to manual part analysis, which led to delays, poor resource allocation, production downtime, and quality errors.<\/p>\n<\/div><\/div><\/div><\/div>

The company was looking for a solution that would not only automate analysis, but also improve planning and facilitate data-driven decision-making.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section>[vc_section full_width=”stretch_row” css=”.vc_custom_1635929310178{margin-top: 0px !important;margin-right: 0px !important;margin-bottom: 0px !important;margin-left: 0px !important;padding-top: 0px !important;padding-right: 0px !important;padding-bottom: 0px !important;padding-left: 0px !important;background-color: #dadd02 !important;}”]

Implementation of Predictive Models and Analytical Chatbots<\/span><\/div><\/div><\/div><\/section>[\/vc_section]
The
Challenge<\/span><\/div><\/div><\/div>

With the aim of predicting and reducing production times for these parts, our team presented a proposal that combines advanced predictive models with an analytical chatbot to transform decision-making on the factory floor:<\/p>\n