Finance AI Index

Index › Vendors › SAP FSCM · September 2026 Edition

1 category · Named, not ranked

SAP FSCM

3Judge labels

0First choices

2Negative labels

1 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.

Standing

1 label, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. SAP FSCM was named 1 time in Cash application, where HighRadius led with 16%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small businessnot named

No model named it for this buyer.

Mid-market77 of 83

under the label threshold

Enterprisenot named

No model named it for this buyer.

In cash application · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named SAP FSCM for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
Cash application	Receivables and billing	0%	77 of 83	100%	1	under 10 labels · led by HighRadius at 16%

Movement

This is the first edition on this tier, so no move can be computed for SAP FSCM yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated SAP FSCM across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Negative	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	0	0
Gemini 3.5 Flash	0	0
Perplexity Sonar	0	0
Grok 4.1 Fast	0	0
Mistral Small	0	0
DeepSeek V4 Flash	1	1
Llama 4 Maverick	0	0
Qwen 3.7 Flash	0	0
Kimi K2	0	0
GLM 4.7 FlashX	0	0
MiniMax M2.5	0	0

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct0 labelsNone

Paraphrase0 labelsNone

Comparative0 labelsNone

Budget-constrained1 labelNone

Scale-constrained0 labelsNone

Negative2 labelsNone

First choiceAlternativeMentionNegative3 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

No positive label carried a quote.

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“legacy ERP modules (like SAP FSCM or Oracle AR) with generic OCR or RPA... often fail on remittance parsing” DeepSeek V4 Flash · Cash application · negative prompt · soft negative

Named alongside

The products named in the same answers as SAP FSCM, over the 3 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and SAP FSCM was named but was not.

ProductSame answerTook the first choice insteadHead to head

HighRadius3 of 30Not in the top three

Billtrust2 of 30Not in the top three

Tesorio2 of 30Not in the top three

Versapay2 of 30Not in the top three

Invoiced1 of 31Not in the top three

Kyriba1 of 31Not in the top three

Quick Receivable1 of 31Not in the top three

Agicap1 of 30Not in the top three

Anaplan1 of 30Not in the top three

Automation Anywhere1 of 30Not in the top three

A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named SAP FSCM. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 3 of the 3 answers that named SAP FSCM and are not a share of its labels.

Domains cited

highradius.com3

cashflowpick.com2

g2.com2

learn.g2.com2

quickreceivable.com2

rfp.wiki2

transformance.ai2

upflow.io2

accountsreceivable.ai1

articsledge.com1

Nineteen of the nineteen domain citations in answers naming SAP FSCM came from somebody else's page.

Pages cited

learn.g2.com/best-accounts-receivable-software2

quickreceivable.com/reviews/billtrust2

accountsreceivable.ai/blog/accounts-receivable-automation-cost1

accountsreceivable.ai/blog/ar-automation-pricing1

articsledge.com/post/cash-flow-forecasting-software1

bigtime.net/blogs/financial-forecasting-software1

bluecopa.com/blog/cash-application-softwares1

capterra.com/p/139184/Billtrust-Invoice-Management/reviews1

Pages are listed as the models cited them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when SAP FSCM's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as SAP FSCM, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at sap.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.