INSIGHTS & AI

Analyze your product data.
Find answers. Fill the gaps.

Use Spec Score and configured data-quality checks to find what needs attention. Ask LINQ Assist to analyze connected records, research product questions, compare sources, and propose missing information for your team to review.

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Insights and LINQ Assist, native to your product records
SCORING. INSIGHTS. AI ANALYSIS.

From a score
to a next step.

See what needs attention, understand why, and decide what to do next—with your connected product information in view.

  1. 01

    Assess the data

    See how complete your records are and where configured quality checks need attention.

    Spec Score · Completeness · Data Quality
  2. 02

    Understand the findings

    Move from a score to the missing values, inconsistent formats, and source details behind it.

    The finding, the field, and the evidence
  3. 03

    Explore the connections

    Ask LINQ Assist about your information and follow related specifications, BOMs, suppliers, and documents.

    Answers in the context of connected records
  4. 04

    Review the next step

    Use the findings to guide your review. Check proposed changes against their source before confirming an action.

    Your review stays part of the decision
Built on the information you already manage.

Specifications, BOMs, suppliers, documents, and approvals stay connected as you investigate.

Explore the analysis example
FROM A QUESTION TO A CLEARER DECISION

See what agrees.
Know what needs checking.

Ask LINQ Assist to investigate a product and its sources. This example compares a specification with supplier documents, separates supported facts from open questions, and proposes a missing value for review.

GreenlinqG
/ComponentsIllustrative example

Machined drive housing

CMP-208 · Components
Revision
03
Status
In review
Spec Score92/100CMP-208 · 2 to review
Compare this housing specification with the supplier documents. What matches, what needs checking, and what information could we add?
LINQ Assist

I compared CMP-208 revision 03 with the sample supplier technical sheet and quote. The nominal bore and finish agree. Two specification details need confirmation, and the quote provides a lead-time value that is missing from the record.

  • Matches the source

    Both the record and supplier sheet specify a 25 mm nominal bore and a clear anodized finish.

  • Needs further validation

    The record specifies Aluminum 6061-T6 and a ±0.05 mm bore tolerance. The supplier sheet says Aluminum 6061 and 25 mm, without the temper or tolerance. That is a gap in the evidence, not confirmation of a match.

  • Additional information to review

    The supplier quote states a lead time of 20 working days. The record’s Supplier lead time field is blank. I can propose that value with its source for your review.

CMP-208 · Product specification · Rev 03
ILLUSTRATIVE SOURCE DETAILS
Material
Aluminum 6061-T6
Bore diameter
25 mm ± 0.05 mm
Surface finish
Clear anodized
Supplier lead time
Not provided
Supplier technical sheet · p. 1
ILLUSTRATIVE SOURCE DETAILS
Material
Aluminum 6061
Bore diameter
25 mm · Tolerance not stated
Surface finish
Clear anodized

Sample source excerpt. Temper and bore tolerance need confirmation from the supplier.

SQ-2041 · Supplier quote · p. 1
ILLUSTRATIVE SOURCE DETAILS
Supplier
Northline Components
Product
CMP-208 · Machined drive housing
Quoted quantity
1,000 ea
Lead time
20 working days

Illustrative quote excerpt. Confirm the applicable quantity, terms, and start point for lead time before using the value.

Suggested next step

Ask the supplier to confirm the temper and bore tolerance. Review the quoted lead time separately before adding it to the specification.

PROPOSED ADDITION · FOR YOUR REVIEW

Add supplier lead time

Current valueNot provided
Proposed value20 working days

Source: SQ-2041 · p. 1 · Quote for 1,000 units. This addition does not resolve the temper or tolerance questions.

Illustrative AI conversation using sample data and prepared responses.
AI THROUGHOUT YOUR WORK

Analyze. Research. Validate. Enrich.

Use AI to understand the information you have and investigate what else you need.

Analyze connected information

Explore specifications, BOMs, suppliers, pricing, and revisions together. Ask what a score means, where a component is used, or which records need attention.

Research product questions

Investigate materials, product requirements, and supplier information. Bring PDFs, images, and related records into the conversation to compare details and identify useful follow-up questions.

Help validate your data

Compare recorded values with supporting sources. Highlight mismatches, missing evidence, and details that need confirmation before your team relies on them.

Suggest supplemental data

Use source information to propose missing attributes, clearer descriptions, or additional product context. Review the evidence and applicability before accepting a suggestion.

AI RULES

Define the task.
Keep the result consistent.

Give AI instructions for a specific field, such as classifying a component’s material. Choose where the result belongs and limit it to your existing values when needed.

Explore AI Rules
GreenlinqG
/AI RulesIllustrative example

Classify material

AI Rules · Components
Spec ScoreNot assessed
Apply toComponents
Save result inMaterial category
Instructions for AI

Identify the material from the component description. Choose the matching material category.

Allowed results
AluminumSteelPolymer
Use existing values only
Example

“Mounting bracket, stainless steel”

Steel
Illustrative configuration and result
ACT ON WHAT YOU LEARN

Create and update with review.

When your next step is a new component, purchase order, or opportunity, describe what you need. LINQ Assistant can propose the record for you to confirm or reject.

See a record creation exampleA supporting capability, in the same conversation
GreenlinqG
/ComponentsIllustrative example

Mounting bracket

CMP-220 · Proposed component
Status
Proposed
Spec ScoreNot assessed
Create a component named Mounting bracket, part number CMP-220, with material stainless steel and unit ea.
LINQ Assistant

Review the proposed component before confirming its creation.

REVIEW PROPOSED RECORD

Create component

Name
Mounting bracket
Part number
CMP-220
Material
Stainless steel
Unit
ea
Illustrative AI conversation using sample data and prepared responses. Actions apply only to this example.
A LITTLE MORE CONTEXT

Questions,
connected.

What can LINQ Assistant help me analyze?

Ask about your connected product information: specification gaps, BOM relationships, supplier details, pricing, documents, and revisions. Use Insights and scoring as a starting point, then investigate the records and evidence behind a finding.

How can it help with research?

Use the conversation to investigate product questions, compare technical information, and identify details to follow up. Bring relevant records, PDFs, and images into context. Check the sources behind a finding and distinguish documented values from suggestions or assumptions.

Does AI validate a specification automatically?

LINQ Assistant can help compare values, identify inconsistencies, and flag missing evidence. A match to a source or a high Spec Score does not establish engineering correctness, certification, or compliance. Your team reviews the evidence and makes the decision.

Can it help fill in missing information?

Yes. Ask it to identify useful information in supporting documents and propose supplemental values or product context. Check the source, units, revision, and applicability before confirming an addition. The example above leaves unresolved questions visible.

Can I include a document or image?

Attach PDFs or images to the conversation and ask the assistant to summarize, compare, or help extract relevant details. Review its interpretation against the original source before using the information.

Can LINQ Assistant still create records?

Yes. It can propose objects such as components, purchase orders, and opportunities, as well as reviewable actions. Inspect the proposed details and choose whether to confirm or reject them. Website examples use sample data and do not change your account.

MAKE THE NEXT STEP SPECIFIC

Bring a spec sheet.
See how it could work.

Review your source data and required outputs. Explore module-based pricing and a migration plan for your team.

Request a demoWhat to prepare