AI for safety and PPE distributors
Grow safety accounts beyond the usual reorder
Proton helps reps and your storefront sell more of your safety catalog, with less product research, re-entry and follow-up around each sale.
Customer story
Selling time became sales growth at Vallen
Vallen moved service tasks to a Center of Excellence and gave reps daily selling priorities through Proton. Sales per inside sales rep rose across the organization, and Vallen attributes $27M in revenue to Proton. One rep’s call about an overdue glove reorder became an order across the customer’s sites and opened more quoting opportunities.
“It’s not just a reporting tool, it’s a sales growth engine. We’re giving the sales team a sports car, not a ball and chain.”
Dane LeBel · Director of Inside Sales, Vallen
What Proton does here
Make room for account growth in the work you already do
Give reps and online buyers a reason to go beyond the reorder
A manufacturing account may buy gloves every month without ever asking about your first-aid or spill-control supplies. Proton shows category gaps, buying changes and open quotes alongside shared account notes, so reps can investigate the opportunity. Pronto briefs them from connected business data before the call, with the specialist’s recorded advice close at hand.
Your storefront can do more selling, too. eCommerce AI uses connected transaction history, including offline orders, to recommend relevant products and prompt familiar reorders. A contractor or facility buyer can discover more of your assortment and buy when they’re ready, with your specialists available for application questions.
Account and storefront examples
Get the next safety line ready to sell sooner
Adding a product line means gathering the details that make it sellable: glove sizes and coatings, sign dimensions, absorbent materials. Proton organizes manufacturer content by category, proposes missing attributes and descriptions, and keeps a source with each addition. Your team reviews and approves the records for connected storefronts, quotes and catalogs. That research can then help a buyer compare products online and a rep answer the next question, without starting over.
Less preparation between a new line and the sales team
Dakota Riggers put 16,000+ active SKUs into its PIM enrichment project. Ben Kuhns estimates that preparing a new product line went from a week or two to a matter of hours. The team reviews the proposed content before use.
Cut-resistant glove, Lmanufacturer numbersize · coating
Hard hatmanufacturer modeltype and class
Safety signdimensions · materialmanufacturer number
Spill absorbent paddimensions · absorbent materialmanufacturer specificationsManufacturer content for review
Early access: more guidance for pricing and purchasing
Pricing AI + Inventory AI · Early access
Pricing AI will recommend customer-specific prices within your margin floors and rules. Inventory AI will forecast demand by product, location and season, flag low or slow stock, and suggest replenishment quantities and timing. Your team will decide prices and approve purchases.
Register interest in early access for Pricing AI, Inventory AI or both.
Planned recommendations · Early access
Keep order work from taking over selling time
The order desk has plenty to do before anyone makes another sales call. Proton reads incoming requests, proposes catalog matches, and prepares quote or order drafts with connected account pricing and availability. Staff review the draft and resolve any incomplete lines before approval.
Pronto answers questions from connected business records and drafts the next step. For work that repeats, your team can configure agents to prepare quote follow-ups, draft supplier ship-date requests or flag invoice/PO price mismatches. Reducing re-entry and chasing lowers the effort of serving each order and gives staff more time for customers and selling.
“Please quote 20 cases of glove GL-204L and 10 signs SG-118.”
Quote follow-up agent · draft a reminder if the quote has no reply after 7 days
From distributors selling safety and PPE
“Being a proactive partner is our identity. What better way to do that than calling your customer daily with a way to make their jobs easier or save them money?”
“I don’t know how we live without it, to be honest with you.”
“Proton gets info to our sellers fast and effectively, so they can talk about what’s relevant and what’s important. With Proton, our team has better discussions with customers.”
Questions from safety and PPE distributors
Help you grow the accounts you already serve and reduce the work around each sale. Reps get buying signals and shared account context, your storefront gets relevant recommendations, and product teams get help preparing new lines. Reviewed order drafts and configured follow-ups give staff more capacity to act on those opportunities.
It prepares the details that staff and buyers need, from glove sizes and coatings to sign dimensions and absorbent materials. Proton proposes structured records and descriptions from manufacturer content, with sources attached. Your product team reviews and approves additions, then publishes them to connected channels, so the same research supports each one.
Yes. Proton can help your specialists explore catalog options and review manufacturer details. Your specialist confirms the protection, fit and application requirements before recommending a replacement. Buying patterns alone cannot establish that two products offer equivalent protection, so that judgment stays with your team.
Not yet. Both are coming to the platform soon. Register interest in early access for Pricing AI, Inventory AI or both. Pricing AI will recommend prices within your rules; Inventory AI will help forecast demand and plan replenishment. Your team will make the final decisions.
It prepares quote and order drafts from incoming requests, using proposed catalog matches and connected account prices and availability. Staff review each draft before approval. Configured agents can prepare quote follow-ups and supplier ship-date requests, or flag invoice/PO price mismatches, so the next step doesn’t depend on someone remembering to chase it.
Both use connected buying history, including orders placed offline. Reps see purchase changes, notes and quotes to prepare the next conversation. Your storefront uses transaction history for relevant recommendations and reorder prompts, with its own prices and availability. A familiar order can happen online while the rep develops the next opportunity.
