ACES gets your part
through the door.
PIES sells it.
ACES answers one question: does this part fit this vehicle? PIES answers everything else. It is the product's full commercial story — descriptions, attributes, pricing, digital assets, marketing copy, interchange, kitting. Most brands treat PIES as the paperwork that gets them listed. The brands who treat it as a commerce engine are the ones winning the shelf.
The minimum gets you listed. It does not get you sold.
Auto Care's minimum for a PIES Item record is three fields: Part Number, Brand ID, and Part Type ID. It is worth noting that by the time a brand has submitted an ACES file, a trading partner already knows the brand — declared either at the ACES header level or at the individual application level, one or the other — and already knows every part number and part type from the application records. A PIES file built only to those three minimum fields adds no commercial information a trading partner didn't already have.
Most major trading partners have their own content requirements that extend well beyond Auto Care's floor. But even meeting those requirements does not mean a brand has built anything commercially meaningful. Many brands submit a description or two — often the same copy pasted across every part number in a category. No pricing data. No digital assets. Minimal attributes. A generic marketing line that says nothing about why this part, for this vehicle, is the right choice.
This is not a laziness problem. It is a tool problem compounded by an expertise problem. Spreadsheets cannot manage PIES content at scale. They cannot validate against the PAdb. They cannot flag duplicated descriptions, missing attributes, or assets that reference files that don't exist. And without expert guidance, most brands have no way to know what good looks like — or what it costs them commercially to never get there.
That gap is not a content problem. It is a platform problem. Auto Plus is built to close it.
Built for commerce. Used for compliance.
Three parent segments. The Item segment carries eight child segments — none required, all purposeful. Auto Plus users maintain their own Auto Care standard subscriptions. Rivers Edge maintains active subscriptions independently for development and validation purposes, and is current on the PIES 8.0 standard.
PIES was built for commerce. Hardly anyone uses it that way.
The standard was not designed to create a list of parts. It was designed to communicate the complete commercial reality of a product — what it is, what it does, what it costs, what it replaces, what ships with it, and what a buyer needs to make a confident decision.
In ecommerce, PIES is the product experience. There is no showroom. No salesperson. No box to open before purchase. The data is the product until it arrives. Descriptions that actually describe — curated, not copy-pasted. Attributes that answer technical questions before they are asked. Interchange data that captures the buyer who searched for a competitor's part number.
In agentic commerce — where AI systems query, evaluate, and recommend products on behalf of buyers — richly structured PIES data is not a nice-to-have. It is the difference between being found and being invisible. An AI agent cannot recommend what it cannot read. And it cannot read a PIES file with two copied descriptions and no attributes.
"The brands that win on the digital shelf stopped treating PIES as a destination and started treating it as a starting point."
Descriptions Built for Commerce
Multiple description codes, each serving a specific commercial purpose. Some loop — building layered supporting content around a primary narrative. The primary marketing description is single-use and deserves careful, substantive curation. Generic copy pasted to every SKU is noise that serves nobody. The difference between the two is expertise and a platform that makes quality manageable at scale.
Attributes That Require Precision
The Part Type ID declared at the Item level determines which PAdb attribute IDs are valid to use. Of those, some carry defined valid values that must be correctly selected. Most solution providers cannot navigate even the first step — identifying which PAdb IDs apply to a given part type. Fewer still can guide brands to the correct valid values within those. When attributes are built to this depth, they power search, filtering, and compatibility matching at scale. When they are not, they are noise the trading partner cannot use.
Interchange That Captures Market Share
A buyer with a dirty OEM filter in their hand is not searching for your brand name. They are searching for the part number they can read. Properly managed interchange puts your product in that result — alongside every equivalent in the market.
Pricing on Your Terms
Structured price sheets with line-item pricing tied to your PIES Item records. Without this, trading partners fill the gap on their terms. Pricing is a commercial signal. Brands who manage it in PIES control that signal. Those who don't have surrendered it.
Digital Assets That Replace the Shelf
Images, installation documents, specification sheets, video references — structured and delivered with the product record. A buyer evaluating your part online needs to see what they cannot hold. Incomplete assets are not a minor gap. They are a conversion killer.
PIES is the floor. Auto Plus takes you above it.
Full PIES compliance is the starting point. As PIES product data management software, Auto Plus includes proprietary capabilities that take brands well beyond what the standard requires — into the territory where parity breaks and competitive differentiation begins.
Build above the standard — systematically.
Auto Plus includes tools for enriching PIES content across every segment at scale. Not part by part, one field at a time — systematically, across a full catalog, with the consistency that trading partners and AI systems require to work with your data effectively.
Every sale is a second opportunity.
Structured upsell and alternate part relationships built into the product record — the upgrade that increases order value, the alternative that keeps a sale in-house when the primary is unavailable. Commerce intelligence that lives in the catalog, not in a sales rep's head.
What leaves your system is what the standard will accept.
Every PIES segment validated against the current PAdb, PCdb, and PIES schema before export. Errors surfaced at the record level — not discovered after a trading partner rejects the file. Standards compliance that is verified, not assumed.
Structured for what is already coming.
Complete descriptions, validated attributes, structured relationships, properly referenced digital assets — this is the data foundation AI systems need to find, evaluate, and recommend products. The brands building it now will own the advantage when it fully arrives.
See what your PIES data could be doing for you.
Schedule a demo and bring your current PIES data. We will show you where the gaps are, what the full picture looks like, and what it takes to get there.