Why Jewel ML

Never Settle for Good Enough!

See why Jewel ML is the right choice against competition

Jewel ML logo
Other Vendors
In-house Solution
Increase in Revenue
5 to 15% in 30 days
less than 5% after few months
less than 5% after many months
Impact Measurement
Scientifically proven through built-in A/B testing
Attribution, no A/B test
Attribution, no A/B test
Implementation and Maintenance
Time to Onboard
20 minutes from client, 2 weeks for Jewel ML
Over a year
Engineering requirements
None. You never write a single line of code ever!
Required engineering and integrations with APIs
Requires hiring engineers and building an entire infra from scratch
Ongoing Maintenance
Fully handled by Jewel ML team, including all migrations and customizations
Requires ongoing engineering to keep up with API changes
Requires ongoing devops to keep alive and update
Easy offboarding with a single click
The entire Jewel ML implementation can disappear from your site with a single click
Requires engineering to remove the vendor from your site
Requires engineering to remove the custom code from your site
Customization and Flexibility
Fully customizable in every aspect to match your site's style and feel
Limited customizability
Fully customizable however requires engineering
Item Boost
Boost items to be shown more frequently to boost their sales (e.g. campaigns, inventory clearing outs, etc.)
Simply done through Dashboard or by your Account Manager
Not possible, blackbox algorithm only
Possible but requires manual ongoing changes
Item Hide
Hide items and prevent them from being recommended (e.g. low margin items, adult items, gift cards, etc.)
Simply done through Dashboard or by your Account Manager
Not possible, blackbox algorithm only
Possible but requires manual ongoing changes
Return on Investment (ROI)
Minimum 600% ROI
Scientifically proven through A/B testing to deliver up to 2000% ROI
Guessed and generally less than 200%
Generally results in negative ROI when considering initial and ongoing costs
Pricing and Free Trial
Flat pricing
Stop worrying about number of queries, sessions, quotas, users, etc.
Your cost does not go up with usage
You get punished for growing, seeing your costs going up
Free Trial
Zero cost, no credit cards, no onboarding. Try Jewel ML for 30 days and leave with a single click if not satisfied
Advanced Artificial Intelligence (AI) and Machine Learning (ML)
Works with incomplete and inaccurate Item Catalogs
Never again worry about your catalog missing data or having inaccurate attributes such as category, color, gender, and so forth.
Advanced ChatGPT-like LLMs and Visual Image Recognition models "understand" what each item is and their attributes
Relies heavily on your catalog data manually being kept clean and up to date hence Garbage in garbage out
Relies heavily on your catalog data manually being kept clean and up to date hence Garbage in garbage out
Real-time inventory and model updates
Continuously updates models to catch trends in sales and remove items that are low / out of stock or not converting
Native platform integrations allow for real-time updates
Rely on slow daily updates. ML models may be stale for months at a time.
Rely on manually retraining models in-house.
Industry specific AI models boost revenue
AI and ML models are trained specific to the needs of each industry to deliver maximum value
Industries supported includes Fashion, Footwear, Sports, Marketplaces, Pharmacies, Electronics, Home and living, and many more
Rely on general one-size-fits-all models
No cold start issue with AI and ML Models
Personalized recommendations start for every new users based on available signals and improve in real-time as they interact with the site
Poor performance for new users until they return to the site days later
Poor performance for new users until they return to the site days later
Dedicated AI and ML team with 10+ years of experience in the personalization space
AI team continuously enhances your models and website
Generally relying on off-the-shelf solutions and blackbox software
Would need to be hired from outside from a very limited pool of talent
Intuitive Dashboard
Enterprise grade dashboard
Includes near real-time performance metrics to per carousel and per click detail, full customization, user management, and help portal
Usually part of a larger solution hence delayed and less detailed
Usually relied on third-party software such as analytics suites
Real-time and Historical Data
up to 14 months of historical data, available for download
Usually few months and delayed
Usually relied on third-party software such as analytics suites
3rd Party and App Ecosystem Software Support
E-commerce ecosystem support
Support for all major e-commerce platforms such as Shopify, BigCommerce, Magento / Adobe, VTEX, Linx, and beyond
Natively Supported
Requires engineering from clients
Requires engineering from in-house team
Support for iOS and Android native apps
Including ability to cross-present recommendations in web, mobile, and app
Natively supported through react native components and API
API only
No support. Requires custom engineering.
Support for 3rd party analytic tools
See Jewel ML's performance in the dashboards you're already familiar with (e.g. Google Analytics, BigQuery, PowerBI, etc.)
Natively supported
Requires manual download and upload of data
Requires manual download and upload of data
API access
API responds with all the information required to ingest recommendations
Usually misses information, hence requiring calls to other sources such as item and user catalogs
No API, usually built as custom code
Privacy and Compliance
Requires zero PII data
Hence fully compliant with GDPR and other privacy laws
Requires your users' private data to leave your infrastructure, increasing risk for your business
Requires expensive privacy and compliance planning and implementation
Does not require Cookies
Built for the cookieless future of the internet
Speed, Reliability, and Support
Available uptime SLA of 99.999%
Available global response latency SLA of <100ms
Zero servers or code or clouds to manage
Certain Vendors but not all
Dedicated Technical Account Manager
Reliability and Scale

Reliable and Scalable Infrastructure

Jewel ML is engineered to meet the needs of even the most demanding clients, effortlessly handling over 100 million SKUs and accommodating more than 500 million monthly active users per site with robust support and seamless performance.


Edge servers covering the entire globe


Response time for 99% of world population


Uptime SLA available

3.2 Trillion

Recommendations served annually

Experience the e-commerce AI revolution with a free A/B test

No payments required for the entire duration of the test Cancel anytime with a single click

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If you can't find the answer to your question in this section, please reach out to us.

We use natural language processing and machine learning to understand item details and user behavior. This combination allows us to create personalized product recommendations in real-time.

Our solution can increase your website's revenue by 5-15% in just 30 days. It's a no-code solution, requiring minimal initial setup and no ongoing effort from your team.

Our solution is fully no-code. Your team won't need to do any engineering work, from the initial setup to ongoing maintenance and customizations.

An A/B test, also known as a split test, is a method used to compare two versions of a webpage, app feature, or product recommendations to determine which one performs better. Essentially, we divide your audience into two groups: Group A sees the original version (the control), and Group B experiences the new version (the variation). By analyzing how each group interacts with the version they see, we can measure changes in behavior, such as increases in purchases, engagement, or any other key metric of interest. This approach allows us to make data-driven decisions and continuously improve the personalization and effectiveness of our recommendations on your site. Jewel ML facilitates this process seamlessly, providing you with clear insights into the impact of our AI-driven recommendations without requiring any separate A/B testing software.

We track customer interactions using anonymous IDs, allowing us to continuously refine our recommendations to ensure they are relevant and personalized.