Cutting-edge AI built by distributors, for distributors. Grow your revenue, prevent churn, increase your margins, and drive ecommerce sales with Proton.
The Frequently Ordered Together Sales Play makes it easier to get customers everything they need in a single order by suggesting complementary go-together items.
This works by ingesting your transactional and product data and training our neural network model until it can pick up obvious and subtle patterns in what gets purchased at the same time.
The Complete-the-Cart Sales Play makes it easier to get customers everything they need in a single order by suggesting complementary go-together items.
This works by ingesting your transactional and product data and training our neural network model until it can pick up obvious and subtle patterns in what gets purchased at the same time.
The Wallet Share Sales Play identifies categories where your buyers are underspending, based on how much similar customers spend in those categories.
Our AI models identify similar customers by looking at order history, total spending, firmographic data, and more to identify gaps.
The New Items Sales Play surfaces which products customers should be buying from you.
Using state-of-the-art AI, we can automatically create a “segment of one” to determine what new products or product categories they should be buying to guide sales teams to categories where customers aren’t spending enough.
The Due to Reorder Sales Play identifies products customers are due to reorder by looking at product, sales transaction, and customer data.
Our AI models pick up on nuanced patterns and buying behaviors. Unlike simplistic ways of reorder prediction – like RFM models – they’re smart enough to pick up nuances like customers switching brands and seasonality.
The First Purchased AI model automatically finds items to your customers’ first purchase so reps can proactively follow up with relevant suggestions.
This works by ingesting your transactional and product data and training our neural network model until it can pick up obvious and subtle patterns in complementary products.
The Viewed Online Sales Play shows sales reps your customers' online browsing activity so they can follow-up in a timely fashion.
Proton connects the dots between human conversations and your digital channels by integrating with all your business tools.
The Similar Products AI model is built to identify substitutes when customers ask for products that are out of stock. To save distributors time and money manually annotating product data with similar items and substitutes, our model does the heavy lifting. No need to manually hard-code product associations.
Our model works by ingesting your data and using state-of-the-art machine learning and natural language processing to understand your product data and automatically find suitable substitutes.
Proton gives you a daily call list organized by revenue potential, highlighting sales opportunities and churn risk so reps can engage the right customer with the right message at the right time.
Proton’s ranks customers based on reorder predictions, churn risk, spend decline, and more.
Proton predicts when customers are about to stop buying so you can take action and protect existing business.
Proton's AI models will get to know each of your customers. They learn the patterns and buying behaviors of a customer's health. Because Proton predicts when a customer is likely to need something or place an order, we can help reps take action when a customer starts showing early signs of deviation or churn.
Our predictive features are backed by cutting-edge machine learning tools, and our models are run across more than 500 million parameters. When our platform analyzes customers and makes recommendations, you can trust you’re getting data-driven insights that maximize profitability.
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