Captivix

AI-Driven Supply Chain Automation

PROBLEM

A lot of back and forth is required to identify logistic solutions/partners (transportation and warehousing) for a supply chain project.

PROJECT GOALS

60% of the route and partner selection are mapped by the AI solution for the project manager’s review.

SOLUTIONS

Predictive Maintenance & IIoT

Leveraged Microsoft Azure IoT and TensorFlow for predictive maintenance to prevent unexpected machinery failures. Deployed IIoT sensors throughout the manufacturing process to gather real-time data, identifying inefficiencies and areas for improvement.

Quality Control with AI

Integrated computer vision systems using Mask R-CNN and TensorFlow for real-time quality control. AI algorithms identify defects in products, enhancing product quality and reducing waste.

Smart Supply Chain Management & Customization

Implemented AI-driven solutions for supply chain management and product customization. Optimized inventory levels, demand forecasting, and distribution, while also enabling efficient product customization based on customer preferences.

Data Analytics & Human-Machine Collaboration

Utilized Power BI for continuous data analysis and improvement. Encouraged collaboration between AI systems and human workers, training employees to work alongside AI technologies for maximum efficiency.

BENEFITS

Worker Safety & Quality Control

Prioritizes worker safety, reducing accident risks in the manufacturing environment. Also implements measures for consistent product quality, leading to fewer defects and customer complaints.

Cost Efficiency & Competitive Edge

Through improved efficiency, reduced downtime, and optimized resource utilization, significant cost savings are achieved. This provides a competitive advantage with superior products, faster delivery, and better customer service.

Predictive Maintenance

Implements predictive maintenance, increasing overall productivity and enabling manufacturers to produce more with fewer resources.

Higher Productivity & Customer Satisfaction

Enhanced efficiency leads to higher productivity levels. Coupled with consistently high-quality products, this ensures customer satisfaction and fosters long-term loyalty.

SOLUTIONS

Decision Tree

Integration & Preprocessing with Python/Pandas

The system integrates with various data sources and APIs, collecting and structuring data for analysis, including handling missing values, outliers, and normalizing variables.

Sentiment Analysis

ML Models with TensorFlow/Scikit-learn & TFRS

Predictive models forecast demand, identify routes, and assess logistics partners’ performance. Route optimization and partner recommendations are driven by machine learning algorithms, considering factors like cost, time, reliability, and historical data.

Multi-Channel Support

Continuous Learning with TensorFlow

An intuitive NLP allows project managers to interact with the AI system. The system learns from decisions and feedback, updating models to adapt to changes in the supply chain landscape.

Integration with PowerBI and ERP

The AI solution integrates with existing project management tools for seamless collaboration. Dashboards provide KPIs related to supply chain efficiency, enabling tracking and analysis of AI-driven decisions.

BENEFITS

Accuracy

Efficient Partner Identification

It reduced unnecessary back-and-forth communication by streamlining the process of logistics partner selection for different supply chain projects, thereby increasing operational efficiency and saving time.

Reduction

Optimized Route Planning

By enhancing route efficiency, this custom Developed AI deve solution significantly reduces delays. It improves overall supply chain operations by facilitating smoother and quicker deliveries, contributing to customer satisfaction.

Reliability

Resource Optimization

Resource allocation becomes highly efficient with this tool, particularly in areas of transportation and warehousing. It ensures resources are used to their fullest capacity, reducing waste and increasing profitability.

Efficiency

Scalability and Compliance

The system is designed to adapt seamlessly to the evolving demands of varying supply chain projects, making it highly scalable. Additionally, it ensures consistent compliance with all regulations and industry standards, minimizing legal risks.

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Project Goals
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Challenges

Solution

AI-Driven Manufacturing
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Project Goals
Increase operational efficiency, reduce downtime, improve product quality, streamline supply chain processes, enhance worker safety, and enable efficient product customization.

Challenges

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What Our Clients Say

I would suggest that captivix’s is the same and we found this to be one of its biggest strengths. At no point during the process did we feel isolated. Our relationship has been and continues to be, one of collaborative effort.
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Kurt Schnakenberg
CHICAGO BRASS
Captivix worked on vital enterprise-wide web and IT Content management initiatives. Their openness to thinking outside the box I found refreshing when interacting with the business community within the corporate environment.
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Rodne Mcgee
NAVISTAR
Captivix always exemplified the highest level of professionalism. As a nontech person, I do not always know the best path. They have been instrumental in helping me find the best path forward that suits my needs.
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Dan Taneja
BEVANALYTICS