Cognitive Automation
for Order Processing

Reduces running costs and errors simultaneously.

Description of Problem

The client receives lots of orders from hundreds of customers daily. They originally have a department to process orders manually (around 5 persons). Information about end-customers’ orders need to be entered into their ERP (Enterprise Resource Planning) system to create Sales Orders. Orders come in different ways:

    1. Emails of Purchase Orders from large end-customers (Format of PO from the same end-customer is the same every time)
    2. Email of Order Forms from smaller end-customers (standardized Excel file provided by Client)

Ther are also orders from phone calls, WhatsApp/ SMS messages, free-flow email text, etc. (Note: these were not automated in the end, as the ROI was not significant.) 

Client Overview:

A company that manufactures and distributes chemicals.

Industry:

Manufacturing

Processes Type:

Order Processing

How Gleematic Helps

Gleematic was trained to recognize and extract data from various formats of Purchase Orders (type-written text, either native PDF files or scans) using A.I. Intelligent Document Extraction.

Gleematic could also read data from standardized Excel Order Forms.

Gleematic could automate opening of emails, downloading of attachments, extracting of data, checking/ validation, and finally enter data into ERP system.

Results

neuromorphic-computing

Degree of Robotization: 75% Effort Automated

financial-statement

ROI: 3 Months

Human Error Rate Reduced

tester

Manual Effort Reduction to 75%

real-time

Faster Processing Time: Reduction of 65%

workflow

More Standardization

information-technology

High-Quality Improvement

working-hours

No More Repetitive Administration

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