Machine Learning

Custom machine learning solutions to scale up your business

2003
Year of Establishment

100s
of Customers Worldwide

4.9/5
Customer Rating

How Vivid Helps

Challenging business environment drives industries to undertake constant digital initiatives for sustainable growth in the market. Leveraging the industry-leading machine learning platforms such as Amazon, Azure, Google, Stanford, and others, we enable our clients to build future-ready business solutions through innovation.

With cutting edge apps, we help you explore the possibilities of machine learning in solving key business challenges, enabling data-driven decisions, and creating innovative business models. Ensuring reduced costs, increased time saving, automated operations and enhanced productivity, we help you accelerate the end-to-end machine learning lifecycle in your organization.

Machine-Learning

Why innovate your business with us

Consistent high-quality results with a robust agile team and a dedicated QA practice

Highly cost-effective and best-of-breed solution with no last minute surprises

Transparent project management with maximum adherence to deadlines

Our Unique Approach & Process

By initiating your project with Vivid , you get a dedicated and skilled team backing you up round-the-clock. All our processes are customer-oriented, designed to reduce the cost of business operations, address IT resourcing challenges, and offer you a competitive edge. We start with a deep analysis of your requirements and continue our relationship with post-launch support and updates.

Research and Discovery

Validating and Shaping Idea

Design and Prototyping

Development

Testing and Quality Assurance

Maintenance and Support

VIVID INFOTECH SOFTWARE SOLUTIONS

Retail Sales Prediction and Inventory Optimization

Client Internal Demo / Concept Project
Tech Stack Python, scikit-learn, Pandas, Matplotlib
Description Developed a machine learning model that forecasts sales trends based on historical POS data. Helped identify overstocked and understocked items, improving warehouse efficiency by 30%.

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Personalized Recommendation Engine for E-commerce

Client Demo for Retail Sector
Tech Stack Python, Django, scikit-learn, Redis
Description Developed a collaborative filtering-based recommendation engine that increased cross-selling and customer engagement in demo simulations.

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Al-Based Quality Inspection in Manufacturing

Client Internal POC for Manufacturing Clients
Tech Stack OpenCV, TensorFlow, Flask
Description Created a computer vision model that detects visual defects in products on the assembly line, using real-time image feeds. Increased defect detection accuracy to 92%.

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NLP-Powered Customer Support Chatbot

Client Internal Tool for Customer Ticketing System
Tech Stack Python, spaCy, Rasa, FastAPl
Description Built a conversational chatbot capable of answering FAQs, creating support tickets, and escalating issues to human agents. Reduced human workload by 60% and improved response time.

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