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AI is increasingly used in the retail and industries

AI can help today's online retailers deliver an optimal customer experience on and off their ecommerce sites by using captured business and customer data to make better business decisions and predict the future.

AI in the Retail/Ecommerce Industry

The Retail Industry Is Undergoing A Digital Transformation. It Has Increased The Speed, Efficiency, And Accuracy Of Every Retail Shop. The Online Shopping Experience Of The Entire E-commerce Business Is Being Transformed By AI. An AI-Powered Machine Recognises Consumers' Interests, Preferences, Past Browsing Behaviour, And Purchases Made, And Helps Businesses Recommend Items And Services For Customers. Apart From These Benefits, AI Is Helping E-commerce Businesses In A Variety Of Ways To Increase Their Competitiveness And Penetration.

AI in the Retail/Ecommerce Industry

AI That Can Help

E-commerce Is Used To Develop New Leads, Improve User Experience, And Better Understand Customers. Since Using The Internet To Make Purchases Of Products And Services Has Become Mainstream

MANAGING INVENTORIES JUST-IN-TIME
Managing inventories just-in-time

Utilise This Information To Place The Ideal Order For The Items, Avoid Spoiling, And Save Money On Storage.

PERSONALISED AND SHOPPING
Personalised and shopping

For Each Person, Create A Suitable Customer Experience. In Order To Offer Timely Discounts And Dynamically Update Content, Find Out More About Your User Base.

COMBATING FRAUDULENT
Combating fraudulent

Utilising Sentiment And Behaviour Analytics, Locate Fraudulent Reviews. Find Questionable Activity And Shield Your Users From Con Artists.

VOICE SEARCH
Voice search

Reach Out To Your Clients Via Their Home Assistants. Create Functionality To Connect With These People Through The Channel That Sees An Increase In Audience Daily.

Challenge of AI in Retail/Ecommerce

More targeted marketing and advertising

According to retailers surveyed, personalization is a high priority, but only 15% have fully implemented personalization across all channels. Stand out from the crowd by personalising your messages and engaging in a one-on-one conversation with your customers. Advances in AI and machine learning have enabled deep customization techniques to personalise material by a user.

Challenge of AI in Retail/Ecommerce

Customer loyalty has improved

Providing individualised marketing and promotional materials to their customers helps improve customer loyalty. According to research, omnichannel personalization initiatives have the potential to increase revenue and customer loyalty by 10-15%.

Challenge of AI in Retail/Ecommerce

Complete automation

The purpose of automation is to complete a task with as little human interaction as possible. This can range from scheduling emails in a CRM or marketing platform to today's most talked about e-commerce ideas of the future, robotics and machine learning.

Challenge of AI in Retail/Ecommerce

Good sales process

AI can help you develop a more successful sales process by collecting data about your customers, automating follow-up questions about abandoned orders, and more. You can help your customers move through the sales funnel by encouraging them to communicate with chatbots for simple questions

Use Cases

Use Case of Artificial Intelligence in Ecommerce/Retail

Create an action plan

Create An Action Plan

Your Plan Will Outline The Steps You Need To Take To Get From Where You're Now To Your AI Goal, Because You've To Start Somewhere. Don't Just Leave This To Your CIO or CTO or A Newly Hired AI Expert. Think Carefully About The Goals You Want AI To Help You Achieve. Use Common Sense And Don't Forget To Start Small.

Overarching business strategy

Overarching Business Strategy

The Most Effective AI Deployment Opportunities Arise When Business Goals, Data Specialisation, And Easily Accessible Artificial Intelligence Models Come Together. If You've A Data Edge And Are In A Situation Where Tested AI Technology Is Acceptable, Focus On Revenue-generating Prospects.

Overarching business strategy

Develop A Complete Solution

Once You're Happy With What Your Team Has Created, It's Time To Develop A Comprehensive Solution. Don't Be Surprised If The Solution Has To Go Through A Few More Iterations Before It Works As Planned. The More You And Your Team Become Comfortable With Artificial Intelligence, The More You'll Benefit From The Projects You Undertake

Leverage outside knowledge

Leverage Outside Knowledge

Even If You Consider Yourself An AI Specialist, You Should Seek Professional Help On This Issue. Hire A Tiger Team As Needed Or On A Project Basis To Help You Create A Comprehensive AI Plan. These Outsiders Can Help You Create Your MVP (Minimum Viable Product).

TECHNICAL STRUCTURE FOR SOLUTIONS

MACHINE
            LEARNING

Machine
Learning

ARTIFICIAL
            INTELLIGENCE

Artificial
Intelligence

NATURAL LANGUAGE
            PROCESS

Natural
language processing

OUR TECH STACK

AI / ML FRAMEWORK

PYTORCH

PYTORCH

TENSOR FLOW

TENSOR FLOW

KERAS

KERAS

SCIKIT LEARN

SCIKIT LEARN

DATA MANAGEMENT

GIT

GIT

DATA LED

DATA LED

MARIA DB

MARIA DB

MONGO DB

MONGO DB

REDIS

REDIS

CLUSTER ORCHESTRATION

KUBE FLOW

KUBE FLOW

SLURM

SLURM

BACK END

NODE

NODE

PYTHON

PYTHON

GOLANG

GOLANG

FRONT END

REACT NATIVE

REACT NATIVE

JS

JS

REACT NATIVE

REACT

SYSTEM ENVIRONMENT

DEBIAN

DEBIAN

AZURE

AZURE

CENTOS

CENTOS

KUBERNET

KUBERNET

DOCKER

DOCKER

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