Start Using AI in Retail Before Your Competitors Do .

The retail game is changing fast. Use smart AI tools to offer better shopping, cut extra costs, and grow your sales; before your competitors take the lead.

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Why AI in Retail Industry Gives Your Store an Edge

The global AI development services in retail market is set to reach about $85 billion by 2032, growing roughly 32% a year. More than 80% of shoppers say they want AI help while they shop. Using AI in the retail industry helps businesses offer personalization, visual search, smarter supply chains, and chatbots.

For online and offline stores, AI in retail and e-commerce can boost sales and cut waste. Generative tools speed up product images and descriptions. Conversational AI for retail answers customers at any time. Orangemantra builds simple, practical ai solutions for retail that fit your systems and deliver quick wins.

AI in Retail

End-to-End AI in Retail Industry Services That Convert

Tailored services that turn data into action. We build simple AI tools to grow sales, cut costs, and improve experience.

AI Recommendation Engine

Personalized Recommendation Engines

We build recommendation engines that learn what customers like. They suggest products at the right time, increasing cross-sell and repeat purchases. Works for web, app, and in-store kiosks and drives ROI.

Demand Forecasting & Inventory Optimization

Our demand tools predict sales by store, channel, and SKU. You get smarter reorder points, fewer stockouts, and less waste. Save costs and keep shelves full during peak days and holidays.

Dynamic Pricing Algorithms

We create pricing tools that adjust prices based on demand, competition, and stock. They help you stay competitive, protect margins, and increase revenue with real-time insights for teams and managers.

AI Chatbots & Virtual Assistants

Our AI conversational assistants chatbot answer customer questions, guide product choices, and handle returns. They work 24/7 on web, app, or messaging. This saves time, reduces support costs, and raises satisfaction.

Visual Search & AR Try-On

Let shoppers search by image and try products with AR. This boosts conversion for fashion and home goods. Faster discovery means fewer returns, higher loyalty scores, and happier buyers.

AI-Powered Loss Prevention & Fraud Detection

We spot suspicious behavior in stores and online. Video analytics and transaction tools flag theft and fraud. You reduce losses and protect customer trust with fast alerts and automated case creation.

Supply Chain Optimization

Our tools plan routes, predict delays, and optimize stock across warehouses automation. This lowers transport costs and speeds delivery. You get better margins, improved order accuracy, and clearer tracking.

Sentiment & Trend Analysis

We track reviews and social posts to find trends. This shows which products will sell and which need change. Use these insights to shape marketing, product planning, and spot new customer groups.

We Help You Gain Leading AI Capabilities

We make sure you capitalize on pathbreaking AI capabilities and master competitive edge.

Machine Learning
Natural Language Processing
Computer Vision

Machine Learning

Predictive Analytics – Anticipate demand and optimize inventory to reduce costs and boost sales.

Recommendation Engines – Deliver personalized product suggestions that increase conversions and customer loyalty.

Natural Language Processing

Conversational AI/Chatbots - Provide instant, human-like customer support to enhance engagement and satisfaction.

Sentiment Analysis - Decode customer emotions and feedback to refine offerings and strengthen brand trust.

Computer Vision

Object Detection - Track products and shopper behavior to improve merchandising and store efficiency.

Visual Inspection – Automate quality checks and reduce errors, ensuring consistent product standards.

Real Results from AI in Retail Industry Projects

35% More Conversions, 20% Higher Order ValueWe built a real-time recommendation agent for a fast-growing ecommerce retailer. The agent watched clicks, carts, and past buys to show better product suggestions. Shoppers who used the tool added more items to their carts. Conversions rose by 35%. The average order value grew by 20%. The system ran across multiple regions and handled high traffic with low delay. The work focused on real business gains: more sales, happier customers, and a fast, smooth shopping experience.

Explore Our Case Studies

15% Sales Lift, 25% Lower Inventory Costs For a leading retail chain in Bangalore, we built an automated inventory system using sensors, tags, and smart forecasts. Inventory accuracy improved. Stockouts and excess stock dropped. Sales rose 15% thanks to better availability. Costs tied to emergency restocks and excess inventory fell by 25%. Operational time for inventory tasks also dropped, freeing staff for customer work. The result was cleaner shelves, fewer lost sales, and a healthier margin.

Explore Our Case Studies

End-to-End Retail AI That Boosts Revenue & Cuts CostsWe helped a major retail client build a full AI program across merchandising, pricing, service, and security. The work included product recommendations, demand forecasting, dynamic pricing, chat assistance, visual search, and loss prevention. Together, these moves raised revenue, cut operating costs, and improved the shopping experience. The project shows how practical AI tools can lift sales while making operations leaner and safer. This is an example of broad AI impact across retail functions.

Explore Our Case Studies

Accurate Footfall Tracking: Errors Cut to 6% A retail brand in the UAE needed reliable visitor counts and crowd insights. We built a people-counting and crowd analysis system. The solution reduced human counting errors from 23% to 6%. Routine manual tasks were automated. The client could see live visitor numbers, manage store flow, and act on real-time alerts. This led to better staff planning, safer stores, and clearer metrics for promotions and layout. The data helped the brand make faster, smarter retail decisions.

Explore Our Case Studies

Boost Sales and Efficiency with AI in Retail Industry

Turn data into profit. Cut waste, speed service, and give shoppers better choices with practical AI tools built for retail.

Higher conversions & AOV

Personalized product suggestions help shoppers find what they want fast. That raises conversion rates and boosts average order value. Small nudges like related items or bundles lead to more sales per visit.

Reduced stockouts & operational waste

Smart demand tools predict when items will sell. You keep popular items stocked and cut excess stock. This lowers storage costs and avoids lost sales from empty shelves during peak days.

Smarter marketing personalization

Targeted messages and offers reach the right shoppers at the right time. This improves click rates and sales. Better messaging also builds loyalty and makes marketing spend work harder and smarter.

Enhanced customer experience with 24/7 support

Chat helpers answer questions any time. They guide buyers, help with returns, and speed checkout help. This cuts support costs and keeps customers happy with quick, clear responses, freeing staff time.

Reduced fraud & security risks

Systems spot odd behavior in stores and online. They flag possible theft or fraud fast. This reduces losses, protects customer trust, and lowers the cost of security incidents while speeding investigations.

Real-time data-driven decisions

Live data gives clear signals from sales, stock, and traffic. Teams act fast with accurate info. Faster decisions mean fewer mistakes, better planning, higher profits over time, and more team confidence.

Our Client

  • relaxo
  • MAhindra
  • PVR
  • WBM
  • Eicher
  • SKF
  • Hero
  • TVS
  • decthlone

Your Competitors Are Already Using AI. Don’t Fall Behind.

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Tech Stack Powering AI in Retail Solutions

We use proven tools and cloud services to build fast, secure, scalable AI systems for retail and e-commerce.

  • ML/Deep Learning Frameworks

  • PostgreSQL  TensorFlow
  • MySQL   PyTorch
  • Keras
  • Oracle XGBoost
  • Oracle scikit-learn
  • Databases & Storage

  • PythonPostgreSQL
  • Java  MongoDB
  • C Redis
  • C++Amazon S3
  • Model Ops & Deployment

  • Microsoft Azure  Docker
  • AWS  Kubernetes
  • Google Cloud  Terraform
  • IBM Cloud MLflow
  • IBM Cloud Helm
  • Frontend & Integration

  • Microsoft Azure  React.js
  • AWS  Vue.js
  • Google Cloud  GraphQL
  • IBM Cloud REST APIs
  • Computer Vision & AR

  • Microsoft Azure  OpenCV
  • AWS  TensorFlow Object Detection
  • Google Cloud  MediaPipe
  • IBM Cloud ARKit / ARCore
  • Analytics & BI

  • Microsoft Azure  Looker
  • AWS  Tableau
  • Google Cloud  Power BI
  • DevOps & Monitoring

  • Microsoft Azure  Prometheus
  • AWS  Grafana
  • Google Cloud  ELK Stack
  • IBM Cloud Datadog
  • Data Processing & Security

  • Microsoft Azure  Apache Spark
  • AWS  Apache Kafka
  • Google Cloud  vpc
  • IBM Cloud SSL/TLS
AI in Retail Solutions for Every Retail Sector
We deliver focused AI solutions for key retail types. Boost sales, cut waste, and improve customer experience quickly across channels.

Personalize fits and speed product discovery.

Improve stocking, cut food waste, and speed checkout.

Recommend accessories and lower return rates.

Suggest products by needs and boost repeat buys.

Drive repeat sales with tailored offers and bundles.

Connect online and offline channels seamlessly. Read More
Fashion & Apparel

No Tech Team? No Problem. We Build and Manage Everything for You.

Talk to Experts

Proven Process to Build AI in Retail Success

We follow a clear, proven method to design, test, and launch AI systems that deliver sales growth and cost savings.

1

Discovery & Assessment

We audit your business, data, systems and goals. Then we identify use cases, success metrics, and timelines for pilot planning.

2

Strategy & Use Case Design

We design a practical AI strategy. We rank use cases, set success measures, and map customer steps for clear impact.

3

Technology Selection

We choose tools, cloud services and solutions that match your data and systems, prioritizing speed, cost, and reliability for growth.

4

Pilot & Prototyping

We build a small pilot to test results. Measure performance, refine solutions, and prove clear results before full launch quickly.

5

Deployment & Optimization

We launch into live use, integrate with your systems and train teams. We monitor, tweak, and scale to boost outcomes.

Proven Results

Our systematic approach delivers measurable improvements in sales growth, cost reduction, and customer satisfaction.

95% Success Rate
Why Leading Retailers Choose orangemantra for AI Solutions
Our AI in retail solutions are built to deliver value fast — with custom features, deep support, and proven business impact.

We don’t force pre-made tools. Every solution is built to fit your retail goals, tech, and data — whether you’re online, in-store, or both.

We focus on outcomes that matter. Our AI in retail projects are built to boost revenue, reduce waste, and show real gains within weeks — not months. div>

Our tools work with your current systems. From POS to CRM to inventory, we connect AI smoothly without slowing you down.

We help you make faster decisions with live data. Pricing, stock, and trends update instantly so you can act before your competition does.

From idea to launch and beyond, we stay with you. Our support team monitors, maintains, and improves your AI solutions for long-term growth.

We build AI tools that grow with you. Whether you expand stores, products, or markets, our solutions stay fast and effective at every stage.

What our clients say

Frequently Asked Questions

A Retail Management System (RMS) is an all-inclusive software program created to maximize and simplify a range of retail processes. Retail Management Software India enhances overall retail productivity, it usually has features like inventory management, point of sale (POS), customer relationship management (CRM), and other tools.

Improved inventory control, better customer experiences, simplified operations, data-driven decision-making, and higher overall efficiency are just a few advantages of using retail management system software. It aids companies in being competitive and adjusting to market needs.
The Retail Management System Software from OrangeMantra is quite customizable. Since every company is different, we may customize our solution to meet your needs in size, industry, and operations.
Indeed. We built our retail management system with smooth integration in mind. We make sure that our system works flawlessly with your current tech stack, whether you're utilizing accounting software, e-commerce platforms, or other third-party apps.
We provide thorough guidance and instruction throughout the implementation process. Our team is committed to making sure the transfer goes well, delivering training sessions for your employees, and extending continuous assistance to handle any questions or problems that may arise.
The priority is security. To safeguard your data, OrangeMantra's Retail Management System complies with industry standards. Retail Management Software company protects your company's data, we use encryption, access limits, and frequent security upgrades.
Yes, your firm can grow with our Retail Management System. Whether you run a small shop or a huge corporation, our solution can grow with your company to meet its evolving demands and handle its increasing complexity.

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