info@anai.io

Make a call : +1 646 699 8676

Request A Demo

Retail and E-commerce

Using ANAI, citizen data scientists and other developers with limited machine learning expertise can easily ingest data, generate insights and build/train ML models.

GET A DEMO
potential use cases

AI in Retail and E-commerce

Personalized Recommendations

Build AI-based recommendation engines for consumers to get product recommendations as around 91% of the consumers are more likely to place an order after getting a relevant recommendation.

Warehouse

Automate and optimize warehouses for better product movement and tracking to increase efficiency and ultimately improve the customer experience.

Demand Forecasting

Predict demands by training ML models on the past data and letting it forecast for the future through time series analysis leading to a better demand prediction and preparation for it.

Pricing Optimization

Optimize prices using past user data to give better deals to each and every user to increase user engagement and chances of the user placing an order.

limits

challenges found

01
Scaling problems
An AI system that works for a specific demographic or region might not work in another region leading to a problem in scaling the AI system.
02
Requires Monitoring
AI-powered systems require constant monitoring and performance checks to keep the system robust and accurate at all times. 
03
Expensive
Building and maintaining such systems come with a huge cost.
image
04
Data issues

The right metric to look at can be a difficulty and might lead to building models which are irrelevant to the use case. 

our platform

With ANAI, Build The Best AI Solutions

  • Easy-to-build and a quick experimentation and deployment platform to train, build and deploy models as quickly as possible using a no code UI approach.
  • Easily conduct monitoring and performance-related checks and detect any discrepancies and drops in the performance.
  • All-in-one solution for all your data science related works, reducing costs in hiring an entire team of ML professionals and enabling businesses to focus more on solving actual problems.
  • Enables citizen data scientists and developers to easily analyze and generate insights into the data to train models that create an impact.

use of aI in ecommerce | machine learning ecommerce | machine learning for ecommerce | machine learning in ecommerce

Related Resources

iqonic-blog Posted on 20 Oct

How Can AI Enhance the Boardroom Experience? 
Read More
iqonic-blog Posted on 24 Oct

Decarbonization with ML: employ aI to fight Climate change
Read More
iqonic-blog Posted on 26 Oct

7 ways to use AI in Manufacturing
Read More

Want to get started?

Connect with us to get a free demo

REQUEST A DEMO >