Scale Personalization
and Drive Revenue

with Net Solutions’
AI Solutions for Retail

Transform customer experiences, optimize inventory, and boost revenue with
full-stack, AWS-Powered AI solutions tailored for modern retailers.

Services

Retail's AI Revolution is Here. Are You Ready?

In today's hyper-competitive retail landscape, the gap between AI-powered retailers and traditional operations is widening rapidly. While many talk about AI, few implement it effectively to solve retail's most pressing challenges.

Inventory Waste

Excess stock and out-of-stocks costing retailers billions annually

Generic Customer Experience

One-size-fits-all approaches that fail to meet individual preferences

Customer Churn

Losing valuable customers due to generic experiences and poor engagement

Decision Guesswork

Relying on gut feelings instead of data-driven insights for critical decisions

Net Solutions AI Capabilities

We combine technical excellence with deep retail knowledge to deliver AI Services and solutions that drive measurable business outcomes.

Product Recommendations

AI-driven personalized product bundles and recommendations that increase average order value and conversion rates.

Customer Segmentation & Churn Prediction

Identify at-risk customers before they leave and create targeted retention strategies based on behavioral patterns.

Demand Forecasting & Inventory

Predictive analytics that optimize stock levels, reduce waste, and ensure products are available when customers want them.

AI Shopping Assistants

Conversational AI that guides customers through their shopping journey, answering questions and making personalized suggestions.

Visual Search & Merchandising

Enable customers to search using images and automatically optimize product placement for maximum conversion.

Dynamic Pricing & Promotions

Automatically adjust pricing and create personalized promotions based on customer behavior, inventory levels, and market conditions.

Returns & Fraud Detection

Identify fraudulent transactions and predict which products are likely to be returned before they're even sold.

What Makes Net Solutions Your Ideal AI Partner?

We combine technical excellence with deep retail knowledge to deliver AI services and solutions that drive measurable business outcomes.

Full-stack + Design + AI Under One Roof

Eliminate the complexity of managing multiple vendors with our end-to-end capabilities.

AWS Partner with AI/ML Specialization

Leverage our deep expertise and privileged access to AWS's latest AI technologies.

Customizable & Scalable Architecture

Solutions designed to grow with your business, from single store to global enterprise.

Rapid PoC Delivery

See tangible results and ROI in weeks, not months or years.

Deep Domain Knowledge in Retail

We understand retail-specific challenges and how to address them with AI solutions.

Built on Proven AWS Services

Utilizing SageMaker, Bedrock, Personalize, and other enterprise-grade AWS technologies.

The AI Edge: Results That Matter

Average Order Value Increase
+ 0 %
Customer Churn Rate Reduction
- 0 %
Personalization-Driven Conversions
+ 0 %
Inventory Waste Reduction
- 0 %

3-6 weeks

Average Time to Value

2-4 weeks

Typical Integration Time

Based on client implementations and industry benchmarks. Results may vary based on business model and implementation scope.

Powered by AWS Technology

We leverage the latest AWS AI/ML services to build robust, scalable solutions that integrate seamlessly with your existing systems.

SageMaker.avif

Amazon
SageMaker

Build, train, and
deploy ML models
at scale

Bedrock-1.avif

Amazon
Bedrock

Foundation models
for generative AI

Personalize-1.avif

Amazon
Personalize

Real-time
personalization and
recommendations

Rekognition-1.avif

Amazon
Rekognition

Image and video
analysis

Forecast-1.avif

Amazon
Forecast

Time-series
forecasting for
demand planning

Comprehend-1.avif

Amazon
Comprehend

Natural language
processing

Ready to Integrate With

shopify
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salesforce-logo.svg

Book a Free AI Advisory Session

Driving Real Results for Retailers Like You

AI-Powered eCommerce Transformation for a Leading B2B Wholesaler
“A leading UK-based B2B wholesaler operating across retail and digital channels faced increasing pressure to modernize its eCommerce infrastructure.”

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AI-Powered Sales Forecasting for Smarter Inventory Management
“UK-based online retailer specializing in musical instruments, audio equipment, and accessories, was experiencing frequent stockouts, excess inventory, and slow manual adjustments that led to revenue loss, operational inefficiencies, and an inability to capitalize on demand spikes.”

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Building an AI-Driven Field Sales Enablement Solution
“The client partnered with Net Solutions to integrate AI-driven sales intelligence, enabling sales agents to receive real-time product recommendations tailored to customer behaviors.”

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AI-Driven Planogram Management Solution
“By leveraging AI-driven computer vision and automation, we transformed inventory management. AI-powered shelf-scanning ensured accurate stock tracking, automated alerts streamlined replenishment, and AI-driven planogram integration improved product placement.”

View Project View Project

We Serve Customers Globally. They Love Us.

Frequently Asked Questions

Have questions about working with Net Solutions? Here are some of the most common questions we hear from our clients. If you don’t see what you’re looking for, feel free to reach out—we’re here to help.

What is Retail AI, and how can it benefit my business?

Retail AI leverages technologies such as machine learning, computer vision, and natural language processing to transform retail operations. It enables personalized product recommendations, real-time demand forecasting, dynamic pricing, AI-powered customer support, fraud detection, and smarter inventory management. With Retail AI, businesses can enhance customer experience, optimize decision-making, reduce operational costs, and improve profitability, both online and in-store.

What are the most common use cases of AI in retail?

AI is transforming retail by streamlining operations, enhancing personalization, and driving sales. Common use cases include:

  • Personalized product recommendations to boost conversions and customer retention
  • Demand forecasting for smarter inventory planning and fewer stockouts
  • Dynamic pricing based on real-time customer, competitor, and demand data
  • AI chatbots and virtual assistants for 24/7 customer support and product search
  • Visual search and smart product discovery to improve digital navigation
  • Customer behavior analytics to personalize marketing and optimize store layouts
  • Fraud detection and loss prevention using pattern recognition and anomaly detection

These AI solutions deliver competitive advantages across the retail value chain—from supply to customer experience.

How is AI used for inventory management and supply chain optimization?

AI improves inventory and supply chain operations by forecasting demand using historical data, seasonality, and external factors. It helps retailers:

  • Optimize stock levels and reduce waste
  • Automate reordering workflows
  • Predict supply chain delays and bottlenecks
  • Enhance coordination with suppliers through real-time data

The result: leaner operations, fewer disruptions, and better availability across channels.

What is dynamic pricing and how does AI enable real-time price optimization?

Dynamic pricing uses AI to adjust product prices in real-time based on factors like demand trends, customer behavior, competitor pricing, and inventory status. AI-driven pricing engines enable:

  • Maximum revenue generation
  • Competitive pricing strategies
  • Efficient inventory clearance
  • Pricing personalization at scale

Retailers benefit from automated, data-driven decisions that optimize margins and responsiveness without manual effort.

What are the major challenges in implementing AI in retail?

Implementing AI in retail comes with challenges such as:

  • High initial investment for development and infrastructure
  • Data silos and poor data quality that hinder training models
  • Limited in-house AI expertise for strategy and execution
  • Integration issues with legacy systems
  • Employee resistance to automation
  • Compliance and data privacy concerns, including GDPR and CCPA

Net Solutions helps retailers address these challenges through strategic consulting, scalable architecture, and secure deployment.

How long does it take to implement retail AI and when can ROI be expected?

Timelines depend on the complexity and scope of the solution:

  • Smaller AI initiatives like chatbots or product recommendations: 3–6 months
  • Enterprise-level systems for pricing, forecasting, or inventory: 6–12+ months

Most clients start seeing measurable ROI within 6 to 12 months of deployment, through higher conversion rates, reduced operational costs, and better customer engagement.

How much does it cost to develop an AI solution for retail?

The cost of AI development varies based on scale, customization, and integration needs:

  • Off-the-shelf AI tools: $10,000–$50,000 (limited flexibility, fast deployment)
  • Custom AI solutions: $50,000–$250,000+ (tailored to specific business goals)
  • Enterprise-scale platforms: $500,000+ (real-time intelligence, full-scale automation, computer vision, etc.)

Key cost drivers include:

  • Data preparation and infrastructure
  • Integration with ERP, CRM, POS, and eCommerce platforms
  • Compliance requirements (e.g., GDPR, CCPA)
  • Ongoing support, optimization, and training

Despite the upfront investment, well-executed AI initiatives typically yield strong ROI within the first year.

Can Net Solutions integrate AI with our current tech stack (POS, ERP, CRM, eCommerce)?

Yes. Net Solutions specializes in building AI solutions that seamlessly integrate with your current systems, including:

  • POS systems (e.g., Square, Lightspeed)
  • eCommerce platforms (e.g., Shopify, Magento)
  • ERPs (e.g., SAP, Microsoft Dynamics)
  • CRMs (e.g., Salesforce, HubSpot)

Our integration process includes:

  • Technical assessments of your infrastructure
  • Custom integration layers using secure APIs and data pipelines
  • Modular deployment to minimize disruption
  • End-to-end support from architecture to post-launch monitoring

You don’t need to replace your systems—we enhance them with AI-driven capabilities that work within your ecosystem.