CASE STUDY

Confidential SAP Purchase Order Automation with SharePoint and Azure AI

Neologix built an SPFx purchase-order intake cockpit, Azure AI Foundry document extraction, confidence-based review and an integration tier posting accepted orders to SAP S/4HANA. The engagement addressed customer purchase orders arrived through inboxes, SharePoint uploads and customer channels and were manually keyed into SAP S/4HANA.
Industry: Manufacturing and EngineeringRegion: 🇸🇦 Saudi Arabia
Confidential Manufacturing & Distribution Enterprise
Confidential Manufacturing & Distribution Enterprise project
Confidential Manufacturing & Distribution Enterprise — project overview

PROJECT SNAPSHOT

Client
Confidential Manufacturing & Distribution Enterprise
Industry
Manufacturing and Engineering
Region
🇸🇦 Saudi Arabia
Engagement
Confidential SAP Purchase Order Automation with SharePoint and Azure AI
Technology
Microsoft SharePoint
Scope
SPFx intake cockpit, AI-assisted PO extraction, validation queue, SAP S/4HANA integration
Business Challenge

Business challenge

Customer purchase orders arrived through inboxes, SharePoint uploads and customer channels and were manually keyed into SAP S/4HANA.
Key Challenges

Fragmented workflows

Customer purchase orders arrived through inboxes, SharePoint uploads and customer channels and were manually keyed into SAP S/4HANA.

Access and processing friction

Employees or operators needed more reliable access to relevant information without repeated manual coordination.

Visibility and governance

Departments required clearer processing status, access rules and traceable decisions.
What Neologix Delivered

Delivered solution

Neologix built an SPFx purchase-order intake cockpit, Azure AI Foundry document extraction, confidence-based review and an integration tier posting accepted orders to SAP S/4HANA.

SharePoint Framework intake cockpit

SharePoint provides the purchase-order intake cockpit.

Inbound purchase-order capture

SPFx components support intake and review interactions.

Azure AI-assisted document extraction

Azure AI Foundry extracts information from purchasing documents.

Confidence-based validation queue

Confidence scoring routes uncertain extraction results for review.

Azure API Management and Logic Apps integration

Integration components connect approved records to SAP S/4HANA.

SAP S/4HANA order posting and status

Workflow controls support review and audit visibility.
Solution Architecture

Solution architecture

Neologix built an SPFx purchase-order intake cockpit, Azure AI Foundry document extraction, confidence-based review and an integration tier posting accepted orders to SAP S/4HANA. The accompanying diagram describes the high-level business workflow and major system layers.
Confidential Manufacturing & Distribution Enterprise project screenshot
Confidential Manufacturing & Distribution Enterprise — source screenshot
Confidential Manufacturing & Distribution Enterprise solution architecture
Confidential SAP Purchase Order Automation with SharePoint and Azure AI — architecture overview
Implementation Approach

Implementation approach

Five practical stages in the project delivery and operating workflow.
01

Collect orders from inbound channels

Collect orders from inbound channels as part of spfx intake cockpit, ai-assisted po extraction, validation queue, sap s/4hana integration.
02

Extract and score order fields

Extract and score order fields as part of spfx intake cockpit, ai-assisted po extraction, validation queue, sap s/4hana integration.
03

Route low-confidence cases to review

Route low-confidence cases to review as part of spfx intake cockpit, ai-assisted po extraction, validation queue, sap s/4hana integration.
04

Transfer approved orders through API tier

Transfer approved orders through API tier as part of spfx intake cockpit, ai-assisted po extraction, validation queue, sap s/4hana integration.
05

Track SAP posting and outcomes

Track SAP posting and outcomes as part of spfx intake cockpit, ai-assisted po extraction, validation queue, sap s/4hana integration.
Business Outcomes

Business outcomes

The source project report identifies these outcomes.
82%
Purchase orders posted without manual handling
41%
Reduction in average order handling time
60–70%
Reduction in manual data-entry errors

Technology Stack

Microsoft SharePointMicrosoft SharePoint
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