Use case · Order Entry

Turn every order into a clean, matched entry.

Agents read incoming orders from email, EDI, and portals, match them to customer and item master data, and flag anything uncertain for review before it posts.

An incoming order converted into a structured finance work item

Where value leaks

Manual order entry is where the first errors get locked in.

Wrong prices, mismatched items, and duplicate orders start here and cascade through fulfillment, invoicing, and collections. Catching them at entry is cheaper than unwinding them later.

2–4%

of orders carry a pricing, item, or customer mismatch at entry

<1 min

to match a standard order against contract and master data

100%

of orders reviewed, not a sample

Proof

Checking every order changes what entry errors surface.

$50K

duplicate invoice surfaced

A US craft brewery · Cloudsquid customer result

$730K

in errors surfaced

A construction wholesaler · 90% less manual reconciliation · Cloudsquid customer result

< 2 hours

to audit a full year of AP

100% transaction coverage · Cloudsquid customer result

Use cases

Start with the work your team never gets through.

01

Order intake & matching

02

Contract & price-list validation

03

Duplicate order detection

04

Customer master data checks

Which process would you hand over first?