Want your retail chain or online store to operate faster, more profitably, and with less risk? We transform digital technologies into real business growth: increased sales, reduced costs, and improved customer satisfaction. We’ll help you implement digital solutions and AI to improve efficiency, service quality, and business management.
We’ll conduct a comprehensive analysis, formulate a strategy, and implement a transformation that truly delivers results. Work with a team that has experience implementing innovation in retail.
We've been helping businesses achieve their goals for over 13 years. We create profitable services.
Technical literacy
We thoroughly analyze and develop requirements before starting work.
Deadlines
We develop MVPs in the shortest possible time, with the ability to scale.
Quality and safety
We take into account current security patterns that help create secure and reliable services.
100+
projects have been implemented by our team over the entire period
300+
satisfied clients who contacted our company
10+
projects have already been developed this year
35+
qualified specialists in the team
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What is included in the cost of implementing AI for Retail?
We offer comprehensive AI implementation solutions, helping Retail become more efficient, flexible, and competitive:
Digital maturity audit and strategic planning
Development of omnichannel platforms and e-commerce solutions
Integration of CRM, ERP, WMS, BI systems
Implementation of computer vision and recognition technologies
Creation of recommendation systems and personalized services
Implementation of RPA for cash registers, accounting, warehouses Working with Big Data and behavioral analytics
Improving cybersecurity and protecting customer data
How we work
1. Submit a request
Fill out the feedback form or write to us on Telegram.
2. Tell us about the project
Briefly describe the idea, goals and objectives you want to solve.
3. Let's discuss the details
We'll schedule a call to discuss your project in more detail and see how we can help.
4. Signing the contract
If we are a good fit, we sign a contract and move on to the next step.
5. Discovery phase
At this stage, we collect requirements and create a set of design documentation describing the future product.
6. Delivery phase
We develop the product according to the agreed-upon specifications. The work process is typically divided into 3-4 stages, each with clear completion indicators.
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Table of Contents
About AI for Retail
The global retail industry is undergoing a profound transformation. Rapid technological innovation, changing consumer behavior, complex supply chains, and the growing need for real-time decision-making are redefining how businesses operate and compete.
To stay relevant, retailers can no longer rely solely on traditional strategies. They must embrace artificial intelligence (AI) and digital transformation to stay competitive in a market driven by personalization, speed, and customer experience.
Implementing AI in retail is not just about automation — it’s about rebuilding the business model around intelligence, data, and innovation.
Let’s take a closer look at what this process entails, its benefits for business, and how imperative it is today.
...
Why Retail Needs Digital and AI Transformation
Today’s shoppers are more demanding than ever before. They expect seamless experiences across channels, personalized offers, fast delivery, and instant customer service. Whether it’s shopping online, through a mobile app, or in-store, they expect the same level of convenience and engagement.
Without digital transformation, retailers risk losing touch with these customers. Those who fail to adapt not only fall behind competitors but also become more vulnerable to market volatility.
Key Retail Trends Driving AI Adoption
Impact on Business
Omnichannel shopping
Integration of all sales channels into a unified experience
Data-driven personalization
Enhanced customer engagement and loyalty
Automation and robotics
Reduced human error and operational costs
Real-time analytics
Faster and more accurate decision-making
AI-powered logistics and inventory
Streamlined operations and optimized supply chains
What AI Brings to the Retail Industry
Artificial intelligence enables retailers to create smarter, faster, and more personalized operations. Let’s explore the key areas where AI is driving measurable impact.
1. Personalized Recommendations
Machine learning models analyze customer data — from browsing history to purchase patterns — to suggest relevant products in real time. This improves the average order value (AOV) and boosts customer satisfaction.
2. Predictive Demand Forecasting
AI helps retailers predict product demand more accurately by considering factors like seasonality, marketing campaigns, and social trends. This reduces both stockouts and excess inventory.
3. Dynamic Pricing Optimization
With the help of AI algorithms, retailers can automatically adjust prices based on demand, competition, and customer segments. Dynamic pricing ensures optimal profit margins and competitiveness.
4. AI-Powered Chatbots and Voice Assistants
AI chatbots provide instant support 24/7, answer product-related questions, and assist in completing purchases. This not only improves service quality but also reduces workload for human employees.
5. In-Store Analytics and Computer Vision
Computer vision solutions analyze customer movements and behavior within stores. Retailers can generate heat maps, measure engagement rates, and optimize shelf placements to increase conversions.
6. Supply Chain and Logistics Automation
AI predicts delays, recommends alternative routes, and helps companies plan deliveries more efficiently — reducing transportation costs and improving reliability.
In addition, AI is being implemented in other areas of retail:
fraud prevention, where algorithms identify suspicious transactions;
improved customer analytics, where data helps segment audiences and create personalized marketing campaigns.
The implementation of AI in retail is not a one-time project, but an ongoing process. Companies that begin using such technologies today gain a strategic advantage in the market by reducing costs, increasing customer loyalty, and attracting new customers.
AI Tools and Systems Used in Retail
AI System / Tool
Primary Function in Retail
Examples / Providers
ChatGPT / GPT-4
Conversational AI for customer service and virtual assistants
OpenAI
Gemini
Data analysis, insights generation, and decision support
Google DeepMind
Amazon SageMaker
Custom ML model training for retail analytics
AWS
Microsoft Azure AI
Cloud-based AI for supply chain and inventory management
Microsoft
IBM Watson Retail
Predictive analytics, personalization, and fraud detection
IBM
Salesforce Einstein
AI integration in CRM and marketing automation
Salesforce
C3.ai
Enterprise AI platform for predictive maintenance and logistics
C3.ai
Benefits for Retail
Benefit
Description
Omnichannel Experience
Seamless integration of online and offline sales channels
Automation
Reduced operational costs and errors through AI-based process automation
Personalization
Individualized offers, emails, and recommendations
Flexibility
Quick testing of new business hypotheses and adaptation to trends
Predictive Analytics
Smarter inventory, pricing, and marketing decisions
Sales Growth
Higher conversion rates and increased customer lifetime value
Competitiveness
Early adoption of innovations and enhanced market positioning
Challenges and Best Practices for AI Adoption
While AI offers tremendous potential, successful implementation requires careful planning:
Assess data readiness — Ensure the company has high-quality, structured data.
Start with pilot projects — Test AI tools in a specific area before scaling.
Integrate across departments — AI should be embedded in marketing, logistics, and sales.
Train staff — Empower employees with new digital skills and change management programs.
Measure results — Use clear KPIs: customer retention, conversion rate, delivery time, and cost reduction.
Stage
Goal
Expected Outcome
Pilot
Validate AI feasibility
Identify quick wins and success metrics
Integration
Merge AI with existing systems
Improve data flow and decision-making
Scaling
Expand across operations
Increased ROI and customer satisfaction
Partner with Polygant
Polygant helps retailers transform their businesses through cutting-edge AI and digital solutions. From data strategy and process automation to machine learning integration and ongoing technical support — we empower retail companies to operate smarter, faster, and more profitably.
Transform your retail operations with Polygant. Let’s build the future of intelligent commerce together.
Today's shoppers have become more demanding, informed, and impatient. They want instant delivery, personalized offers, impeccable service, and a consistent experience across all channels. Without digitalization, retail loses touch with customers and becomes vulnerable to market shifts.
Is it really necessary to implement AI and modern technologies in retail?
To remain competitive, retailers need to not just implement new tools but completely rethink their business model. This is the essence of retail: it is a comprehensive process that touches every aspect of the business.
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