Solutions Powered by the Fabric

All of it starts with product data. All of it runs on nutrād.

Find your problem below. We'll show you what it looks like solved on your data, in 48 hours. Got a different problem? We'll show you that too.

Find Your Starting Point Request a Demo Browse Use Cases
9 Great Starting Points

Find the problem your team already has a name for.

Each starting point below connects to a larger solution area built on nutrād's Intelligent Product Data Fabric. Pick the one that feels most urgent, then jump into how nutrād solves it.

EDI
Set up EDI without a 3-month IT project.Retailer setup, testing, ASNs, invoices, and partner rules.
Supplier Onboarding
Get new vendors live in days.Ingest supplier data from spreadsheets, PDFs, feeds, and portals.
New Product Launch
Launch products across every channel faster.Turn approved products into channel-ready records before sales stall.
PIM Modernization
Create your product golden record.Whether you have a PIM or need one, manage, enrich, and execute product information from one governed source.
Validation
Find rejection risk before submission.Catch missing attributes, documents, claims, and compliance gaps early.
Channel Syndication
Make ERP data channel-ready automatically.Enrich, format, validate, and syndicate records everywhere.
Trade & Shipping Risk
Know which shipments may face holds.Connect product identity to trade, tariff, origin, and shipping signals.
AI Agent
Let teams ask product data questions.Find, check, and update product facts without digging through systems.
AEO
Make sure AI recommends your products.Improve the product data signals answer engines use to choose.
Solution Details

What actually happens when nutrād goes to work.

Each solution below is broken into three parts: what the problem actually looks like in practice, the signals that tell you it's yours to solve, and what measurably improves when nutrād is applied. If one resonates, the link at the bottom takes you deeper into real use cases.

EDI transaction execution
EDI

Set up EDI with a new retailer without a 3-month IT project.

Getting approved as a Walmart, Home Depot, or Ace Hardware vendor is the win. What comes next is where manufacturers get stuck: EDI transaction formats, retailer testing, data mapping, and keeping up as requirements change.

nutrād handles the full EDI transaction lifecycle, including purchase orders, ASNs, invoices, returns, item setup, pricing, packaging, pallet configuration, and partner-specific rules on the same platform as your product content.

Use it when

A new retailer relationship requires EDI setup, testing, ASN readiness, invoice accuracy, item setup, or partner-specific transaction compliance.

What improves

Faster retailer activation, cleaner transactions, fewer partner exceptions, lower chargeback exposure, and less work between operations, finance, logistics, and channel teams.

View related use cases →
Supplier and vendor onboarding
Supplier Onboarding

Get new vendors live in days, not weeks.

Every new supplier sends data differently. One sends an Excel file with columns that do not match yours. Another sends a PDF line card. A third sends an EDI feed in its own mapping. Too often, your most detail-oriented operations person becomes the person reformatting spreadsheets by hand.

nutrād ingests supplier data in any format, maps it to your schema automatically, validates it as it arrives, and flags only the gaps that actually need a human decision.

Use it when

Supplier onboarding creates repeated follow-ups, inconsistent records, manual cleanup, or delays before items can be sold.

What improves

Faster onboarding, better first-pass completeness, clearer supplier accountability, and stronger long-term data quality.

View related use cases →
New product launch orchestration
New Product Launch

Launch new products across every channel in days, not the weeks between warehouse and first sale.

The product cleared engineering, passed QA, and is physically on a pallet. But it will not be live on your top channels for another six to twelve weeks because the product record is not ready: wrong dimensions, missing attributes, incomplete marketing copy, or images not sized for the retailer portal.

nutrād pulls the product record together from ERP, engineering specs, supplier data, digital assets, and channel requirements, validates it before anything goes live, and syndicates to every channel simultaneously once approved.

Use it when

New products are sellable physically before they are sellable digitally, and launch timing depends on manual data cleanup across channels.

What improves

Shorter time-to-channel, faster first sale, fewer launch delays, and better launch readiness across sales, product, operations, and channel teams.

View related use cases →
Product golden record powered by product data orchestration
PIM Modernization

Create your product golden record.

A PIM is often the project companies start with when product information becomes too fragmented to manage. But the real goal is not owning a PIM. The goal is a trusted product golden record: one governed, enriched, channel-ready record that sales, commerce, compliance, operations, suppliers, and partners can rely on.

Whether you have a PIM or need one, nutrād gives you the modern solution for managing product information, enriching it with AI, and executing it wherever it needs to go. Channel syndication, item setup readiness, EDI preparation, and monitoring all become outputs of the same governed record.

Use it when

You are evaluating a PIM, stuck in a long implementation, relying on ERP and spreadsheets, or trying to get more value from the catalog platform you already own.

What improves

A trusted product record, faster time to value, less manual catalog work, stronger channel readiness, and a cleaner path from product data foundation to full orchestration.

View related use cases →
Product data validation and compliance readiness
Validation

Find out which products will get rejected before you submit them.

Retailer portals do not tell you what is wrong until after you submit, and sometimes not until after the pallet shows up at the distribution center. At that point, the chargeback has already happened and the relationship has already taken a hit.

nutrād scores every product record against retailer schemas, compliance requirements, required attributes, documents, images, claims, and business rules before submission, so your team fixes problems on a screen instead of negotiating chargebacks on a phone call.

Use it when

Product launches, item setup, or retailer submissions are slowed by incomplete data, compliance uncertainty, missing documents, or channel-specific validation rules.

What improves

Fewer rejected records, fewer late corrections, lower chargeback risk, cleaner governance, and stronger auditability.

View related use cases →
Intelligent product data syndication
Channel Syndication

Make your ERP data channel-ready and syndicate it everywhere automatically.

Your ERP knows part numbers, prices, and inventory. It does not know how to write a Grainger product description, populate a Home Depot attribute template, or format a Shopify listing with SEO copy and sized images.

nutrād connects directly to ERP, PIM, DAM, supplier feeds, spreadsheets, and portals, enriches records with AI, validates them before submission, publishes in each destination's required format, and captures feedback when a retailer, distributor, marketplace, GDSN pool, or portal needs something corrected.

Use it when

Channel teams are manually reformatting records, maintaining too many submission files, or chasing rejection errors across retailers, distributors, marketplaces, and portals.

What improves

Faster launches, fewer rejected records, better channel visibility, bi-directional feedback, and less duplicate work across teams.

View related use cases →
TRIDENT trade risk intelligence
Trade & Shipping Risk

Know which products may face tariff or compliance holds before they arrive.

When a tariff schedule changes or a customs classification gets scrutinized, the companies that catch it first can reroute, reclassify, adjust pricing, or prepare evidence before the goods land. The ones who find out at the port pay the bill.

TRIDENT applies nutrād's product data orchestration capabilities to trade and shipping risk. It connects product identity, shipment context, supplier and entity signals, routing behavior, HTS codes, tariff schedules, origin requirements, compliance context, and history into explainable risk cases.

Use it when

Shipment, supplier, origin, classification, or product identity risk needs to be reviewed before goods move deeper into the supply chain.

What improves

Earlier risk detection, stronger evidence packages, more consistent review, better visibility into trade lanes, and more time to act before goods arrive.

View Related Use Cases →Explore TRIDENT →
AI product data brain
AI Agent

Let anyone on your team find, check, or update product data without digging through systems.

Getting a straight answer about product data often means knowing which system to search, how to query it, and who to ask when the answer is not there. Inside sales fields spec questions all day because data is not findable. Operations pulls reports from three places to answer one question.

nutrād's AI Product Data Agent lets teams ask plain-language questions across connected product data sources, understand which source is trusted, identify gaps, explain readiness blockers, and get accurate, data-grounded answers immediately.

Use it when

Teams cannot quickly find product facts, compare sources, understand readiness issues, or answer channel questions without handoffs.

What improves

Faster answers, fewer handoffs, better visibility into source conflicts, and more confident product data decisions.

View related use cases →
AI engine optimization for product data
AEO

Make sure AI recommends your products, not your competitor's.

When a buyer asks ChatGPT, Perplexity, Claude, Google AI, Amazon Rufus, or Copilot to recommend a product in your category, the answer is built from product data: descriptions, specifications, attributes, structured content, entity signals, and source records.

nutrād enriches product records to meet the quality threshold AI engines need to surface and cite products confidently, then monitors where your products are cited, missed, or displaced.

Use it when

You need to understand whether AI answer engines cite your products, miss them, or recommend competitors before buyers ever reach your website.

What improves

AI discoverability, source-level data signals, citation visibility, and confidence in how buyers see your products in AI answers.

View related use cases →
Quantify the Problem

Not sure which problem is costing you most?

See how manual work, delayed launches, returns, fulfillment errors, chargebacks, and compliance risk combine into annual product-data exposure.

Calculate Your Cost
Find Your Path

Product data orchestration for every starting point.

Whether your product data lives in ERP and spreadsheets, inside a PIM, or across retailer and distributor channels, nutrād helps you turn fragmented product data into commerce-ready records that move faster across every destination. If you do not have a PIM, start here. If you do have one, nutrād makes it smarter.

Many starting points
ERP + Spreadsheets
Manufacturer & Distributor
Retail Channels
Retailer Channel Excellence
PIM or No PIM
Start with nutrād or extend what you own
Your Product Data Challenge
Any source, channel, workflow, or requirement slowing products down
Product Data Orchestration
Connected · validated · enriched · channel-ready
One governed path to commerce-ready data
One Fabric Underneath

Solutions can start focused and expand over time.

The first problem may be syndication, EDI execution, validation, supplier onboarding, AI search visibility, product data access, or trade risk. nutrād gives each solution the same foundation, so the work done for one outcome can strengthen the next.

ConnectBring sources, files, portals, APIs, and partner data into view.
HarmonizeResolve conflicts, validate fields, enrich records, and govern the facts.
ExecuteMove product data into channels, workflows, packages, and partner systems.
MonitorTrack readiness, exceptions, AI visibility, feedback, and risk over time.

Find the solution that fits the problem in front of you.

Start with a focused business problem, then expand across the fabric as your product data operation matures.

Talk to nutrād