Top 10 AI Ecommerce Platforms for Better Sales

AI Ecommerce

E-commerce platforms are the new retail outlets in the digital world. As the competing brands aim to improve their sales, they now seek to progress with AI in e-commerce platforms.

Be it business statistical analysis, website front-end development, or data categorization, AI plays a huge role in understanding, learning, and automatizing the system. Developed on similar principles, check ahead, the best AI in e-commerce examples, practically in the current use.

Best-rated AI e-commerce platforms

1. Clarifai

One of the best AI in e-commerce examples, it ensures the easiest process to upload and detect different characteristics from any raw image or short video. It uses machine learning to detect features like people, animals, items, text, or colors.

Clarifai can assist the developing AI in B2B e-commerce industries to customize their detection programs by programming the API with specified tags to detect from the files provided. A high-quality image enhancer also becomes essential for the app to ensure an upload of utmost clarity.

Pricing: Free version is available, but the package with more data capacity and features starts at $30 per month.

Clarifai

Pros:
● Detects multiple features from still images
● Can handle multiple images at once

Cons:
● Can't process live-streaming
● Users should have programming knowledge

2. Seamless.AI

This dynamic e-commerce artificial intelligence platform is discreetly developed for modern businesses to help them directly connect with potential leads and decision-makers. The app has an accuracy of over 80% to extract real-time contact details like emails, company numbers and even extend to Linked-In profiles.

It is essential for globally working businesses, given their contacts are countless, making it difficult to trace a particular one.

Pricing: Free versions suitable for small scale. Subscribed package starts at $125 with versatile features.

SeamlessAI

Pros:
● AI e-commerce platform to store over 800 million contacts
● Connects to a wide range of globally recorded contacts
● No need to type the details to store

Cons:
● Only applicable for categorizing contacts

3. Morphl

It serves the best for the businesses looking to analyze their customer preferences and predict their marketing progress. This dynamic AI e-commerce platform tracks the individual customer navigation, applies churn prediction, and even attaches to other marketing tools like Google Analytics and Amazon WebServices, thus improving ROI in the sales.

It provides a collection of machine learning modules for marketing analysis and is compatible with AI e-commerce web hosts like Shopify and BigCommerce.

Pricing: Subscriptions for fewer data storage begin from $149 and increase to $499 and later $999 depending on the data expansion.

Morphl

Pros:
● Analyzes real-time sales and customer navigations
● Connects with global cloud data warehouses

Cons:
● Brands should have at least 25,000 users engaged on their website per month

Also read: Top 10 AI Trading Software Review

4. Qubit

E-commerce artificial intelligence platforms understand their customers, predict their possible choices, and display the relevant services and catalog. Qubit assists with unique solutions for various businesses starting from beauty salons, medical pharmacies to online betting and gaming.

Customized AI e-commerce solutions are used for product analysis, applying trendy social badging, and enhancing content to improve the brand's CRM. Recently, Qubit Aura, the AI mobile shopping app, launched to facilitate extended m-commerce sales.

Pricing: There are no fixed subscriptions or free trials, as the developers charge according to the resources provided to the clients.

Qubit

Pros:
● Uniquely customized solutions for different retail chains
● Uses AI to develop an interactive e-commerce platform

Cons:
● Complex software to navigate and use

5. Zeta Global

Zeta Global studies customer preferences to curate an attractive website for generating leads and engaging them as long-term customers. The most competitive among the AI in e-commerce examples, it works with media channels like customized emails, website presentations, and several connected TV channels to reach the audience.

The solutions extensively work with customized CDP programs to monitor and categorize big data. Zeta also collaborates with cloud warehouses like Snowflake or Google BigQuery to extract quick data.

Pricing: The vendors don't provide self-working applications but integrate with their clients individually. Thus, there are no subscriptions and trials, but clients can request a demo.

zeta

Pros:
● AI e-commerce platform provides multiple omnichannel marketing sources
● Personalized programs to develop emails and ads

Cons:
● Users find the programs primary-leveled for advanced businesses

6. Syte

The most versatile application of AI in e-commerce, Syte provides specialized solutions using visual AI, natural learning processes, and hyper-personalization. The application provides visual discovery, hyper-personalization, and Merchandising.

The visual AI principles extract the product knowledge from the images uploaded by the customers. The hyper-personalization suite uses high-end e-commerce artificial intelligence to study the customers' behavior and channels their search and feed accordingly. Searchandising concentrates on overall website presentation using quality keywords and tags to increase the lead attraction.

Pricing: Provide paid subscriptions starting from 100K per month and selective bundles for negotiable prices. There are no free trials though clients can request a demo.

Syte

Pros:
● Can use images to search products
● Embedded ROI and AOV calculators available

Cons:
● Machine-learning programs are too inclined to jewelry and home styling businesses

7. Edward

Looking for channelized and perfectly categorized sales data? Edward is a dynamic AI e-commerce platform developer to manage and improve real-time sales. This sales assistant can efficiently handle big data and also provides AI in B2B e-commerce communication.

Service providers or potential customers, the communication with every unique contact is updated and systematically categorized through mobile-app entries.

It practically implements AI e-commerce principles guided by machine learning programs to create a personalized engine for noting calendar updates. The app helps the sales reps record timely data, set alarms for meetings, pin-up contacts for omnichannel marketing, and even notifies about the upcoming events to look for.

Pricing: They provide guided SaaS and Enterprise plans priced according to the resources utilized. Payments can either be monthly or annually charged subscriptions. There are no free trials.

Edward

Pros:
● Records data through voice applications
● Programs work on handy mobile apps

Cons:
● Useful only for sales reps for data organization
● Doesn't integrate with other CRM systems to auto-feed data

8. Vue.AI

Web designing and e-shopping can certainly leap to the next level when competitive AI in e-commerce enhances real-time interactivity. Supporting both the front-end website presentation for the customers and the back-end management for the sales department, Vue.AI is a complete package of AI learning to market models.

The marketing solutions and unique machine learning programs are available, targeting various retail businesses worldwide. Vivid sales boosters provide personalized shopping recommendations, trending product tags, and interactive selection options.

High-quality photo enhancer applications help develop on-site visual looks and even provide virtual trial assistance before purchasing the products.

Brands can also connect with their customers using churn prediction and cart abandonment analysis and develop appropriate omnichannel communications to grab more audiences.

Pricing: Provides a free trial on request to demo, but fixed subscription packages aren't available. The vendors negotiate the prices depending on their resources and services chosen.

VueAI

Pros:
● Versatile applications for management and web development
● Tags and filters can be added to products
● API integrates with several external platforms

Cons:
● Users should know basic programming languages and HTML

9. VanceAI

Most of the applications for AI in e-commerce examples implement machine learning principles to detect and manage website logistics. Vance AI as an online photo editing and enhancement tool is a unique e-commerce supporter to provide front-end development assistance.

This AI photo enhancer is applicable only for image development and rectification. Website developers can use this e-commerce artificial intelligence subset to generate images with high clarity, brightness, blended saturation and remove background blemishes and haze.

Pricing: The basic plan starts from $9.99 per month and the Pro plan from $19.99 per month. Vance also provides a one-time user package for $24.99 with a 600 credit bundle.

VanceAI

Pros:
● All types of AI image enhancements are available
● Can use the online or downloaded version
● Can export files in any format

Cons:
● Only for image enhancement

10. Brandfolder

As the name suggests, Brandfolder is a capable application imbibing AI in e-commerce to categorize and differentiate the real-time generating data. Data can be product images, advertising videos, sales analytics' text files and graphs, or even brand logos and logistics.

It implements AI e-commerce platform strategies to categorize countless products and services using separate filters and tags to obtain instant results at their quick search.

Pricing: Premium subscription provides only data storage and categorization. Enterprise subscription provides additional creative applications and data categorization.

Brandfolder

Pros:
● Stores any format of data with unique filters and keywords
● Users can develop creative ads and posters

Cons:
● Smart auto-tagging can be a hassle to misplace the files
● Users can't edit the uploaded documents

Conclusion

Any AI e-commerce platform developer or sales assistant functions uniquely to support the deployment of the retail website or manage the back-end sales. The programs developed on machine learning and e-commerce artificial intelligence principles ease out the analysis procedures. It’s never been this easy to track and analyze thousands of daily users and products!

Also read: Top 20 Website Builders Review 2022

FAQs

1. How can AI platforms help increase sales?

AI helps you increase your selling hours with the automation of tedious manual work, and helps you better analyze the habits of your customers. These two factors combined help boost sales.

2. How do AI Ecommerce platforms impact customer satisfaction?

AI features such as chatbots help improve customer satisfaction, by addressing queries in a timely, responsive, and systematic manner.

About Rose Salia

Rose Salia is a senior tech writer with years of experience. Rose has a great passion for all things new and interesting in AI and tech industry. That's exactly why she can bring you different stories in AI, covering latest AI apps, amazing deepfake tools, and revolutionary deep learning and GPT-3. When she's not working on writing, in her spare time, Rose also enjoys cooking (Italian Pasta), walking her dog (Charlie, a fluffy golden retriever), playing video games (Monument Valley) and reading books.

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