AI for jan-san and packaging distributors
Grow accounts beyond the categories they already buy
Proton helps reps and online buyers discover more of your catalog, with less of the listing, quoting and follow-up work behind each order.
Customer story
How Swish found more business in its existing accounts
Swish reps had focused on the top 20–30% of accounts, and call prep meant digging through several systems. Proton brought buying signals, shared notes and follow-up into one place.
Swish reports year-over-year growth rising from 2.8% in early 2024 to 7.8% in the same period of 2025, and attributes $3.2M in new revenue to Proton. Recommended-product carousels added a reported $1.6M in online revenue in early 2025.
Before Proton, it would take me 10 to 15 minutes to do my research on an account. Now it’s just a minute or two.
Zeina Shahabeddin · Inside Sales Leader, Swish
What Proton does here
Give your wider assortment a better chance to sell
Make the next category easier to discover
A steady towel order tells you little about the rest of a hotel’s needs. A manufacturer buying film may not know you also carry labels. If introducing another category depends on someone remembering it and finding time to research the account, a broad catalog can still produce a narrow order.
Proton brings category gaps, buying changes, shared notes and open quotes into reps’ daily priorities. They can investigate the need and start a relevant conversation. Your storefront can make its own contribution: personalized recommendations draw on connected purchase history, including orders placed through reps, to introduce more of the assortment. Reorder prompts help buyers return to familiar products. Customers can discover and buy online, with your specialists available when an application needs advice.
Buying history helps reps and online buyers explore more of the catalog
Get more products ready to sell with less manual enrichment
An item number can be enough for a buyer who already knows the product. Someone choosing a food container, floor-care tool or protective film needs dimensions, materials and pack counts. Gathering those details by hand adds work before the product has had a chance to sell.
Proton gathers available supplier and manufacturer content, structures category attributes, and proposes descriptions and missing details with their sources. Product and merchandising teams review the additions, then publish approved records to connected storefronts, quotes and catalogs. The same reviewed content supports more places where the product can earn an order.
Hard-roll towels, 8 in × 800 ft6 rolls/casemanufacturer spec sheet
Can liner, 40 × 46 in1.5 mil · 100/casesupplier catalog
Shipping carton, 12 × 12 × 8 in25/bundlemanufacturer spec sheet
Food containerdimensions · material · pack countmanufacturer spec sheetProduct content for review
Early access: more help with pricing and stock decisions
Pricing AI + Inventory AI · Early access
As accounts buy across more categories, pricing and purchasing decisions have more products to cover. 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
Reduce the work each quote and order takes
A food producer sends a carton and tape list in a spreadsheet. A hotel emails a PDF. Re-entering each line, finding the product and checking the account details all add to the cost of serving the order.
Proton prepares quote and order drafts from those requests, with proposed catalog matches, connected account prices and availability. Your team resolves uncertain items and quantities before approval. Configured agents can also draft follow-ups on unanswered quotes or customer notices when a connected ship date moves. Less re-entry and repeated checking leave more time for the product advice that helps a buyer choose.
“Please quote the attached carton and tape list for our next production run.”
Let purchasing start with the exceptions
Checking open POs for missing ship dates eats time before anyone has asked the supplier a question. An agent can find the missing dates and draft supplier requests on a schedule, under the team’s rules, so purchasing starts with drafts ready to review.
- Read connected open purchase orders
- Find POs without a ship date
- Draft supplier ship-date requests
- Purchasing reviews and sends
Purchasing agent
The Swish team on finding the time and context to sell
“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.”
“Just think of the best assistant you’ve ever had. You can plug an account number or contact name into the system and get all the information you need within seconds.”
“We’ve gone from zero CRM culture to everyone talking about Proton every single day. That in itself, within three months of launching, has just been spectacular.”
“Pronto makes me look smarter, gives me the info I need, and never judges my questions.”
“One of our new reps, Jake, pitched products to a large account based on Proton’s recommendations. The customer said, ‘I never knew that Swish supplied those products.’ Now we’re in the final stages of closing a huge deal with that customer — all within Jake’s first 90 days.”
Questions from jan-san and packaging distributors
Help you grow accounts beyond the categories they already buy, while reducing the work around each sale. Reps get category opportunities and shared account context; online buyers see personalized suggestions. Product enrichment, quote and order drafts, and configured follow-ups reduce the manual work of getting the wider assortment listed, quoted and sold.
It reduces the work of turning a thin item record into useful buying information. Proton gathers supplier and manufacturer content, then proposes descriptions and structured details such as dimensions, materials and case quantities, with sources attached. Your product team reviews the additions and publishes approved content to connected channels.
Yes. Your storefront can use connected purchase history to recommend products and prompt reorders, including items previously bought through a rep. Buyers can discover more of your assortment and place an order online. The storefront keeps its own live price and availability, with your specialists available for application questions.
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 drafts from emailed, PDF and spreadsheet requests, using proposed catalog matches, connected prices and availability. Staff review unclear items or quantities before approval. Configured agents can also draft quote follow-ups and requests for missing supplier ship dates. Your team sets the timing, rules and review for those jobs.
No. It organizes the manufacturer information your specialists need to make that call. Dispenser models, refill dimensions, carton requirements and film specifications can all matter. Your team confirms the application and fit before recommending a product; PIM keeps the supporting details and sources easier to find.
