Must-know impact metrics of AI in Retail Industry

87%

Of retailers have already deployed AI in at least one area of their business

Source

69%

Of retailers report a positive impact on annual revenue due to AI adoption

Source

80%

Of shoppers are more likely to purchase when they receive personalized product recommendations

Source

Building Retail AI Solutions Across the Value Chain

Pricing & Promotions

AI-driven pricing & promotions maximize revenue, optimize product pricing, cross-sell opportunities, & support demand-driven strategies with advanced model

Maximize Pricing Effectiveness

Inventory & Supply Chain Optimization

Enhance supply chain efficiency, cut costs, optimize stock, predict failures, and adjust restocking with real-time AI-driven insights and intelligent automation.

Achieve Supply Chain Excellence

Customer Analytics

Analyze customer behavior and preferences using AI algorithms to offer product suggestions, optimize store layout, and create engaging in-store experiences

Enrich customer engagement

Demand Forecasting

AI-driven demand forecasting analyzes sales data, trends, and external factors using AI and ML to optimize inventory and enhance product planning

Skyrocket Your Sales Success

QSR Analytics

Supercharge your QSR with AI-predict demand, optimize pricing, analyze feedback, and streamline operations for efficiency and satisfaction

Watch Out QSR Trends

Fueling Retail Analytics Solutions: Our AI Accelerators & Analytics Frameworks

Smarter retail decisions, one chat away! This Gen AI bot applies artificial intelligence in retail to deliver trends, forecasts, and retail analytics-right inside MS Teams.

Agentic AI in retail redefined. Automate retail workflows using LLMs and APIs, forecast demand, and optimize promotions with intelligent decision-making.

Accelerate insights with built-in ML models. Get real-time retail data analytics for pricing, inventory, and customer trends using cutting-edge AI in retail industry capabilities.

Harness AI in retail to streamline logistics, monitor supply chains, and enable predictive alerts using advanced retail data analytics for retail brands.

Strengthen AI in retail with unified master data. Our graph platform boosts product, supplier, and channel data-powering seamless retail analytics.

Client Success Stories

Developed a winning pricing analytics framework for revenue growth

10%

Increase demand forecasting accuracy
5-7%

Increase in market share
65%

Increased efficiency due to automation

Reimagine your Pricing

Generative AI based P. AI chatbot improves sales forecasting

6%

Increase in profitability for next season
12%

Improvement in forecasting accuracy
RAG

Based search implemented

Maximise your forecasting accuracy

Enhance Supply Chain Visibility with a Data-Driven Control Tower

7%

Decrease in stockouts
13%

Reduction in inventory costs
6%

Improvement in logistics costs

Get 100% Supply Chain visibility

How does your company implement AI solutions in retail ?

At Polestar analytics, we integrate AI across the retail value chain - from dynamic pricing and promotion optimization to predictive demand forecasting, customer analytics, and inventory management. Our AI-first approach helps brands pick, scan, and bag powerful solutions that transform customer experience, streamline operations, and drive growth.

What role does AI play in price optimization ?

AI analyzes historical sales, competitor pricing, market demand, and consumer behavior to optimize pricing strategies. It helps retailers maximize revenue, set competitive prices for new products, identify cross-sell opportunities, and adapt pricing dynamically to market changes.

Why Choose Polestar for Data Analytics in Retail ?

Polestar analytics, with its deep domain expertise with cutting-edge AI and ML technologies to deliver tailored, scalable retail analytics solutions. From pricing to inventory optimization and customer engagement, we help you build an AI-first retail business that adapts faster, operates smarter, and wins bigger.

How does AI contribute to fraud detection in retail ?

With experts having technical, technological, and Retail industry expertise, Polestar Analytics emerges as one of the best partners for your Data Analytics needs and implementation. With our detailed Data Discovery Workshop, we believe in a customer-centric approach to identifying the solutions and choosing the further roadmap based on futuristic needs.

AI continuously monitors transactions and customer interactions to detect anomalies, predict potential fraud patterns, and trigger real-time alerts. By leveraging machine learning, retailers can proactively protect revenue, reduce losses, and maintain customer trust.

Talk to our Experts

Our CPG Experts