AI & ML Solutions
Empowering Intelligent Enterprises with AI-Powered Innovation
At Scalent Infotech, we help businesses unlock the power of Artificial Intelligence (AI) and Machine Learning (ML) to drive smarter decision-making, automate processes, and create transformative customer experiences. Our tailored AI/ML solutions are designed to solve real-world problems—faster, more accurately, and at scale.
Our AI & ML Services Include
Custom AI Solution Development
We design and build AI-powered applications tailored to your industry and business goals—covering everything from predictive analytics to intelligent automation.
We design and build AI-powered applications tailored to your industry and business goals—covering everything from predictive analytics to intelligent automation.
Machine Learning Model Development
Our ML engineers build, train, and deploy high-performance models using structured and unstructured data for accurate forecasting, classification, and recommendations.
Our ML engineers build, train, and deploy high-performance models using structured and unstructured data for accurate forecasting, classification, and recommendations.
Natural Language Processing (NLP)
Leverage NLP to build chatbots, sentiment analysis engines, smart search tools, and language models that understand and interact like humans.
Leverage NLP to build chatbots, sentiment analysis engines, smart search tools, and language models that understand and interact like humans.
Computer Vision
Transform image and video data into actionable insights with object detection, facial recognition, OCR, and quality control solutions.
Transform image and video data into actionable insights with object detection, facial recognition, OCR, and quality control solutions.
AI-Powered Automation & RPA
Streamline repetitive tasks and business processes using AI + Robotic Process Automation (RPA) for maximum efficiency and reduced costs.
Streamline repetitive tasks and business processes using AI + Robotic Process Automation (RPA) for maximum efficiency and reduced costs.
AI Strategy & Consulting
Not sure where to start? We help you define an AI roadmap aligned with your data strategy, budget, and long-term goals.
Not sure where to start? We help you define an AI roadmap aligned with your data strategy, budget, and long-term goals.
AI Applications Across Industries
Healthcare
Diagnostic automation, patient monitoring, and personalized treatment
Finance
Fraud detection, credit scoring, and financial forecasting
E-commerce
Product recommendations, visual search, customer behavior analysis
Manufacturing
Predictive maintenance, quality inspection, and production optimization
EdTech
Adaptive learning, smart content, and chatbot assistants
Logistics
Demand forecasting, route optimization, and warehouse automation
Why Choose Scalent Infotech for AI/ML Development?
- 16+ Years of Software & Innovation Experience
- A Team of Data Scientists, ML Engineers & AI Architects
- Deep Industry Knowledge Across Domains
- Scalable & Production-Ready AI Solutions
- Transparent, Agile & Collaborative Approach
- Trusted by 100+ Clients Across the Globe
- 16+ Years of Software & Innovation Experience
- A Team of Data Scientists, ML Engineers & AI Architects
- Deep Industry Knowledge Across Domains
- Scalable & Production-Ready AI Solutions
- Transparent, Agile & Collaborative Approach
- Trusted by 100+ Clients Across the Globe
Case Study - Predictive Analytics for Retail Demand Forecasting
Client:
National Retail Chain (India)
National Retail Chain (India)
Client Challenge:
The client struggled with overstocking and frequent stockouts across its 300+ stores. Manual demand planning resulted in inaccurate forecasts and revenue loss.
The client struggled with overstocking and frequent stockouts across its 300+ stores. Manual demand planning resulted in inaccurate forecasts and revenue loss.
Our Solution:
- Developed a custom machine learning model using historical sales, seasonality, promotions, and regional trends.
- Integrated the model with the client’s ERP and inventory system.
- Built an interactive dashboard to visualize demand predictions per product, region, and time frame.
- Deployed the solution on Google Cloud Platform (GCP) with auto-training cycles.
- Developed a custom machine learning model using historical sales, seasonality, promotions, and regional trends.
- Integrated the model with the client’s ERP and inventory system.
- Built an interactive dashboard to visualize demand predictions per product, region, and time frame.
- Deployed the solution on Google Cloud Platform (GCP) with auto-training cycles.
Results:
- 35% improvement in inventory turnover ratio.
- 20% reduction in stockouts during peak seasons.
- $1.2M annual savings through optimized procurement.
- Forecast accuracy improved by over 85%.
Case Study - AI Chatbot for Customer Support Automation
Client:
Fintech SaaS Provider (UK)
Fintech SaaS Provider (UK)
Client Challenge:
The client’s support team was overwhelmed with repetitive queries from users. Response times were long, leading to poor customer satisfaction scores.
The client’s support team was overwhelmed with repetitive queries from users. Response times were long, leading to poor customer satisfaction scores.
Our Solution:
- Designed a multilingual AI-powered chatbot using Natural Language Processing (NLP).
- Integrated with their SaaS platform via APIs to fetch user-specific data (transaction status, FAQs, etc.).
- Enabled escalation to live agents only for complex queries.
- Used Dialogflow and Python-based ML models to enhance understanding over time.
- Designed a multilingual AI-powered chatbot using Natural Language Processing (NLP).
- Integrated with their SaaS platform via APIs to fetch user-specific data (transaction status, FAQs, etc.).
- Enabled escalation to live agents only for complex queries.
- Used Dialogflow and Python-based ML models to enhance understanding over time.
Results:
- 60% of queries resolved without human intervention.
- Reduced average response time from 15 minutes to under 30 seconds.
- 4.5/5 user rating for chatbot experience.
- 40% lower support team workload.
Case Study - Computer Vision for Quality Inspection in Manufacturing
Client:
Automotive Parts Manufacturer (Germany)
Automotive Parts Manufacturer (Germany)
Client Challenge:
The client used manual inspection to identify defects in precision metal components, resulting in human errors and slow quality checks.
The client used manual inspection to identify defects in precision metal components, resulting in human errors and slow quality checks.
Our Solution:
- Implemented a computer vision solution using high-resolution cameras and deep learning models (CNNs) for real-time defect detection.
- Trained the model on thousands of labeled product images.
- Integrated the solution with the existing assembly line for live monitoring.
- Built a dashboard for visual reporting and batch-wise defect trends.
- Implemented a computer vision solution using high-resolution cameras and deep learning models (CNNs) for real-time defect detection.
- Trained the model on thousands of labeled product images.
- Integrated the solution with the existing assembly line for live monitoring.
- Built a dashboard for visual reporting and batch-wise defect trends.
Results:
- 92% accuracy in detecting surface and dimensional defects.
- Reduced inspection time by 70%.
- Quality control team redeployed to higher-value tasks.
- Achieved ROI within 6 months of deployment.
Technologies We Work With
Frameworks
Languages
Platforms
Tools
Deployment
Let’s Build Smarter Together
AI is no longer the future—it’s the present. Whether you're just exploring AI or ready to scale, Scalent Infotech is here to help turn your data into powerful business outcomes.
AI is no longer the future—it’s the present. Whether you're just exploring AI or ready to scale, Scalent Infotech is here to help turn your data into powerful business outcomes.