AI for product data & merchandising
Stop building your catalog one SKU at a time
A new line is ready to sell. The product data isn’t. Proton’s AI researches specs, gathers images and cleans attributes; your team reviews the records.
Current workflows
Clear the product data backlog
Stop researching every product by hand
Give Proton your item list. AI gathers specs, images, and documents from manufacturer sources, with references your team can check. Review the content and resolve gaps before approval, without starting every record with a browser full of tabs.
Fix supplier inconsistencies at scale
One supplier sends “volts,” another sends “voltage,” and your team gets to sort it out. Proton normalizes attributes against your categories and allowed values, so those differences don’t become another spreadsheet to untangle before customers can filter and compare.
Stop rewriting records for every system
Your ERP needs a short description; your website needs enough detail to help a buyer choose. Set the formatting rules for each destination, and Proton prepares the content from the same product record. Your team doesn’t have to rewrite it for every export.
A thin 1/32 in wheel for fast, clean cuts in steel and stainless. Fits 3 in cut-off tools with a 3/8 in arbor.
16,000+ active SKUs in Dakota Riggers’ PIM enrichment project
“Beforehand, depending on the amount of SKUs, it could have taken a week, two weeks to gather all the relevant information and images. Now with the PIM … it could be a matter of hours.”Read the Dakota Riggers story
Team handoffs
Get sales out of the spec-hunting business
Your team already checked the spec. The rep answering a customer shouldn’t have to hunt it down again. Approved product details reach sales through Proton, while digital teams use them for product pages and filters.
Relevant capabilities
Explore the products behind this work
Frequently asked questions
Yes. Proton researches additional product sources and fills out the attributes your categories need, using the information you already have as a starting point. Your team reviews the proposed values, so supplier follow-up can focus on the gaps that still need attention. Some information, particularly unpublished specifications or UPCs, still needs to come from the supplier. We show you what enrichment can recover using your own products.
Proton shows the sources behind enrichment proposals, so your team can check a spec against the material it came from before approving it. You can identify trusted websites and block unwanted domains across enrichment. Source links help make review practical, but AI can still infer a value, so a citation alone isn’t proof. Your reviewers keep the final say on the product facts customers will see.
Yes. We configure enrichment around your existing categories and the attributes that belong in each one. Controlled values and unit normalization help keep data consistent, while your style guide steers names and descriptions. Your team reviews the results. If the structure itself needs work, such as merging duplicate attributes, we can plan a separate taxonomy cleanup with you and preserve the product knowledge you’ve already put into it.
Yes. Your team can review enrichment proposals, accept or reject changes, and approve fields across multiple products in one review session. That makes working through a whole category much more manageable. We help you define who reviews the data and how approved changes move to your website, so bulk approval saves time while your team stays in charge of what gets published.
No. You can use Proton to enrich data within your existing catalog workflow. We agree which system owns the product records, which attributes need attention and where approved results should go. Imports and exports provide one route back to your PIM; a tailored connection can be built into the project by our in-house engineers. The starting point is the data you want improved and the workflow you want to keep.
Your team can export approved data for your website, or our engineers can build an automated channel connection with the fields, format and update schedule you need. That gives you a repeatable way to move approved catalog changes onto product pages. New supplier information goes back through review. Your team still identifies manufacturer-document changes; the publishing connection doesn’t automatically watch those sources.
Yes. Start with a category that matters to your customers and has a clear data problem: missing filter attributes, inconsistent descriptions or specs your team keeps looking up. We help you choose a representative set, set up the category attributes and sources, and review the enrichment together. Once you’re comfortable with the quality and workflow, you can expand. The whole catalog doesn’t need to become week one’s homework.
Yes. Clear names, useful descriptions and consistent specifications give customers better information to search, filter and compare. Proton enriches your catalog around the attributes that matter in each category, helping customers narrow their choices and evaluate the details. Reps can use the richer information to answer product questions, too. The work starts with what someone needs to know to buy the right item.
