Product Data Enrichment for Pool, Spa & Irrigation Distributors
A pool builder repowering a 230V variable-speed system, a service tech sourcing a cartridge that fits a CleanClear 420, and a landscape contractor matching rotor precipitation rates across six zones are all doing the same thing on your site: filtering by spec, checking fitment, and confirming the part is legal to install in their state. If your SKU page can't answer those three questions, they bounce to a competitor's listing or call a counter rep to do it manually.
Pool, spa, and irrigation catalogs are unusually punishing for thin data. The same physical pump shows up as a single-speed and a variable-speed model with different DOE compliance status. A 1.5" union and a 2" union look identical in a photo. A trichlor tab and a dichlor shock are both "chlorine" until you read the available-chlorine percentage and the EPA registration number. Manufacturer copy rarely carries the cross-reference, the precipitation rate, or the WEF value, so it gets pasted in and the page stays unsearchable.
Your PIM stores all of this. It doesn't go find the missing WEF rating, normalize "230V" against "208-230V," or map a discontinued Hayward part to its current replacement. Anglera does that work against how your buyers actually search, then writes it back to your source of truth.
Attributes thin pool, spa & irrigation distributors catalogs miss
The catalog your buyers actually search
Contractors and service techs don't browse categories. They arrive with a spec or a broken part and expect the filter to do the rest. The queries are concrete:
- "1.5 HP variable speed pump, 230V, that replaces a Pentair WhisperFlo"
- "cartridge filter element for a Hayward C4030"
- "4-station outdoor WiFi irrigation controller, WaterSense"
- "PVB backflow preventer, 1 inch, ASSE 1020"
- "pressure-compensating drip emitter, 1.0 GPH"
Every one of those is a fitment-plus-spec query. If your data carries motor voltage, total HP, the OEM cross-reference, and the certification as discrete attributes, the buyer lands on one page and adds to cart. If those facts live in a paragraph of manufacturer marketing copy, the search returns nothing and the sale leaves.
The attributes that decide the sale
Pool/spa/irrigation buyers filter on a specific, technical attribute set that generic catalog templates miss. Pumps turn on voltage, total HP, service factor, single- vs variable-speed, and DOE compliance. Filters turn on media type, effective filtration area in square feet, and micron rating. Heaters turn on BTU/hr input and fuel type. Irrigation heads turn on precipitation rate, radius, and arc adjustability.
Numbers also have to be normalized, not just present. "230V," "208-230V," and "230 volt" are the same motor and should land in the same filter bucket. "1-1/2 in," "1.5"", and "38mm" are the same union. Mismatched precipitation rates across a single irrigation zone are a design error, so a contractor who can't trust your in/hr values won't trust your catalog. Enrichment here is as much about consistent units as it is about filling blanks.
Compliance and energy data you can't ship without
This vertical is regulated at the SKU level, and missing compliance data doesn't just hurt search, it can make a product unsellable in entire states.
- DOE Dedicated-Purpose Pool Pump rule: pumps need a Weighted Energy Factor (WEF) and DPPP compliance status. Several states won't allow non-compliant single-speed sales.
- EPA WaterSense: irrigation controllers, spray bodies, and sensors carry the label that rebate-driven buyers filter for first.
- NSF/ANSI 50: the certification commercial and many residential pool jobs require on filtration and circulation equipment.
- EPA registration number and available chlorine %: the facts that separate a trichlor tab from a dichlor shock from a cal-hypo product.
- ASSE backflow standards and UL listings: what an inspector checks before a system passes.
Buyers treat the absence of these fields as the absence of the certification. A compliant pump with a blank WEF field reads as non-compliant and gets skipped.
Why thin data loses in replacement parts
A large share of pool, spa, and irrigation revenue is replacement and repair, and that business runs almost entirely on cross-reference data. A tech in the field knows the failed part number, not your SKU. They search the Pentair, Hayward, Jandy, Hunter, Rain Bird, or Balboa OEM number and expect a match, including superseded and discontinued numbers that now map to a current product.
Manufacturer feeds almost never carry the full cross-reference, the "fits these models" list, or the supersession chain. So the demand exists, the inventory exists, and the two never connect on your site. The counter staff who do this lookup from memory become a bottleneck and a single point of failure. Enriching every SKU with its OEM equivalents, fitment list, and replaced-by mapping turns that tribal knowledge into searchable data.
Buyer-signal enrichment, written back to your PIM
Reformatting the supplier's copy doesn't add a WEF rating, a precipitation rate, or a cross-reference that the supplier never published. Anglera gathers those facts from spec sheets, IO manuals, certification databases, and the wider web, cleans and normalizes them into your schema, scores each SKU against how pool builders, service techs, and irrigation contractors actually search, then writes the result back to your PIM as the source of truth.
We sit alongside the PIM, not on top of it, and a typical implementation runs about 30 days. The output is a catalog where a 230V variable-speed pump shows its compliance status, a cartridge lists every filter it fits, and a drip emitter carries its GPH and pressure range, so the buyer finds it, trusts it, and orders it without calling your counter.
Frequently asked questions
Can you enrich both equipment and chemical SKUs?
Yes. Equipment SKUs get spec attributes like voltage, HP, BTU, filtration area, and compliance flags. Chemical SKUs get active ingredient, available chlorine percentage, EPA registration number, and packaging/concentration data. Each category is enriched against its own buyer-relevant attribute set, not a single generic template.
How do you handle OEM cross-references for replacement parts?
We build the cross-reference, the 'fits these models' list, and the superseded/replaced-by chain from spec sheets, parts manuals, and manufacturer references, then attach them to your SKU as discrete fields. A tech searching a discontinued Pentair or Hayward part number lands on your current equivalent instead of a dead end.
Do you capture DOE, WaterSense, and NSF compliance data?
Yes. Pump WEF and DPPP status, EPA WaterSense labeling on irrigation products, NSF/ANSI 50 certification, UL listings, and ASSE backflow standards are pulled and stored as structured attributes, so a compliant product never reads as non-compliant because of a blank field.
Will this replace our PIM?
No. Anglera is not a PIM and not a CRM. Your PIM stores the data and remains your source of truth. We do the gathering, cleaning, enrichment, and scoring, then write the enriched records back into the PIM you already run.
How long does implementation take?
A typical implementation runs about 30 days. We connect to your PIM, map your existing schema and unit conventions, and start enriching against your live catalog rather than asking you to restructure it first.
How is this different from the AI button our PIM added?
A PIM's AI feature mostly rewrites the copy you already have. It can't produce a WEF rating, a precipitation rate, or a cross-reference the supplier never published. Anglera finds the missing facts from outside your feed and normalizes them to your schema, which is the gap that actually loses search and sales.