AI case study

SynthomerOrder processing

Emails and PDFs, each decoded and entered manually. AI agents now propose materials and ship-to details; employees review, then approve.

Published

Key results

Material Match Rate
98%
Faster Order Processing
12x

Result highlights

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The story

Context

A global specialty chemicals supplier operating across a complex product portfolio with diverse customers, order types, and requirements spanning multiple markets.

Challenge

Customer orders arrived in inconsistent, unstructured formats, from emails to multipage PDFs with multiple line items. Employees had to interpret...

Solution
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The company

Synthomer logo

Synthomer

synthomer.com

Producer of high-performance, specialized chemical products and solutions.

IndustryIndustrial & Manufacturing
LocationHarlow, Essex, UK
Employees1K-5K
Founded1910

The implementation partner

NTT DATA logo

NTT DATA

nttdata.com
Role in this case study

Provided SAP expertise & guidance to Synthomer for deploying AI agents and custom workflows.

IndustryTechnology
LocationTokyo, Japan
Employees50K-100K
Founded1988

The vendor

SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.

IndustrySoftware & Platforms
LocationWalldorf, Germany
Employees100K+
Founded1972

Use case

Synthomer's Order processing is part of this use case:

Data Extraction
123 case studies(+56% YoY)
Proven impact?
LowModerateVery Strong
4.4Moderate
3.9Moderatewithin Industrial & Manufacturing

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