Personalized eCommerce recs for every customer
Recommendations trained on every order, not just those made online
Most recommendation engines only learn from eCommerce orders, which are often just 20–30% of total purchases.
That leaves out phone, rep, and counter sales. Proton trains on every transaction in your ERP, so recommendations reflect 100% of purchasing history. Not just what happens online.
The value of Proton for our industry is that right out of the box, it speaks our language. It understands what challenges distribution companies have.
Personalized to each customer
Generic "frequently bought together" shows everyone the same products. A 50-location contractor and a one-truck plumber shouldn't see identical recommendations and with Proton, they won't.
Our eCommerce recs surfaces suggestions built from each customer's actual purchase history: "You're due to reorder." "In-stock alternative." "Customers like you buy this." Each one build form that customer's actual purchase cadence, not the same thing shown to everyone.
Our main goal is to make the customer experience as good as it can be, and Proton is a huge part of that. The AI-generated product recommendations in the customer portal are a big deal, since they give customers all sorts of helpful info as they check out different products.
More revenue per customer, every order.
When customers see products they actually need, they buy more. It's that simple. That's why Proton users see 10-17% more eCommerce spend per customer, with carousel clicks converting at 13-24% versus the 2-5% industry standard.
Proton is the best ROI of any tech investment we've made in the past 30 years.
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Works with what you have. Adds what you don’t.
Proton connects to your existing eCommerce system and handles product relationships automatically. No one on your team has to hard-code "customers also bought" across 50,000 SKUs.
The ROI on the e-commerce [integration] was immediate. We’ve seen well over seven figures in attributed revenue and hundreds of thousands of clicks for attribution to engage on [product] recommendations.
Similar products
Recommend alternative products when customers search for products that are out of stock
Customers also bought
Recommend complementary add-ons buyers might be interested in as they build their cart
New items
Recommend new products customers should be buying from you
Due-to-reorder
Show online buyers products they’re due to reorder
Enterprise-grade security and privacy
Proton protects your data with the highest standards. We're one of the only distributor software platforms with SOC 2 Type II compliance. That's why we're trusted by IT teams and ready for even the most rigorous security reviews.
Frequently asked questions
Does this replace my eCommerce site?
No. Proton is not an eCommerce platform. Proton’s eCommerce AI integrates with your eCommerce platform to supercharge your online store with hyper-personalized product recommendations that increase sales.
How does Proton’s AI decide what to recommend to customers?
Our recommendations are powered by a complete view of your customers. We analyze data from your ERP and eCommerce platforms, including order history, product attributes, purchasing patterns, and customer behavior. This analysis identifies frequently bought-together products, similar items, and customer-specific buying trends, enabling timely, relevant, and highly accurate predictions.
Where do the recommendations display on our website?
This is customizable and can be used across your site and channels, including product detail pages (similar or alternative items), cart and checkout pages (reorder or cart-completion suggestions), the homepage (buy-again items), and post-purchase emails.
How does the integration work with our eCommerce platform?
Proton exposes an API with recommendations; the customer's dev team plugs it into their site. Pixel tracking captures "viewed online" behavior. Magento and other major platforms are commonly supported.
Do I need engineering support to implement Proton eCommerce AI?
No. Launch with our pre-built widgets - add a code snippet to your pages and you're live.
You only need a developer if you want to build a custom interface or control exactly how recommendations display on your site.
How is this different from other eCommerce recommendation engines?
Our AI models have been trained to specifically serve distributors. As a result, we accurately find product relationships so customers find what they need, including complementary and substitute products. Plus, unlike other recommendation engines, since Proton ingests data from all of your existing tools, we surface recommendations based on your customers’ transaction history across all channels – not just products they’ve purchased online.
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