AI Invoice Processing Automation with OneDrive Integration

70%

Less Manual Matching Effort

30%

Manual Workflows Targeted for Automation

3x

Faster Access to Operational Data

Invoice Processing Automation Results & Impact

By replacing a fragmented workflow built around Invoice files, delivery docket repositories, and Microsoft Access with a centralized cloud-based automation platform, the business established a more scalable foundation for invoice processing, document matching, reporting, and operational control.

Up to 70% reduction in manual matching effort by automating invoice-to-delivery-docket comparison and presenting intelligent match suggestions for exceptions.
30% of previously manual invoice matching workflows targeted for automation, reducing dependency on repetitive record-by-record review.
3x faster access to operational and financial data through centralized document processing, searchable records, and browser-based reporting.
Single source of truth for invoice and delivery docket data, reducing dependency on disconnected Invoice files, document repositories, and Microsoft Access databases.
Improved data accuracy and auditability through OCR confidence scoring, verification workflows, controlled manual matching, and immutable activity logs.
Faster reporting and decision-making by replacing technical MS Access queries with user-friendly reports, filters, visual summaries, and Excel exports.
Greater scalability across multiple stores and suppliers through store-level configurations and supplier-wise matching workflows.
Reduced operational risk by moving critical processing away from local, on-premise infrastructure to a centralized cloud-based platform.

The transformation positioned the business to process increasing document volumes without scaling manual effort at the same rate.

About the Multi-Store Retail Client

The client is a multi-store retail business that processes supplier invoices and delivery docket documents across several store locations.

Its invoice verification process relied on structured supplier invoice files, delivery docket documents stored in a separate document repository, and an on-premise Microsoft Access database used for matching and reporting.

As transaction volumes increased, this fragmented setup made invoice processing more time-consuming and difficult to manage. Approximately 30% of invoice-to-delivery-docket matching required manual intervention.

The client needed a centralized platform that could:

Automatically ingest supplier invoice information
Retrieve and process delivery docket documents
Extract document data using OCR
Match invoices with the corresponding delivery dockets
Identify and manage processing exceptions
Provide business-friendly reporting
Maintain a complete audit history
Support secure access from multiple locations

The objective was clear:

Create a centralized invoice automation platform that reduces manual effort, improves document visibility, and gives the business greater control over invoice verification.

Invoice Processing and Document Matching Challenges

The existing invoice-processing workflow was distributed across several disconnected systems.

1. Fragmented Invoice and Document Data

Supplier invoice information, delivery docket documents, matching records, and reports were maintained in separate locations.

Employees had to move between systems to find the information required to validate an invoice.

2. Manual Invoice-to-Delivery-Docket Matching

Approximately 30% of invoice-to-delivery-docket matching required manual review.

Users regularly had to investigate:

Missing delivery dockets
Quantity differences
Incorrect store information
Unmatched invoice lines
Incomplete or incorrectly extracted document data
Other document and matching exceptions

This increased processing time and created operational dependency on experienced staff.

3. Dependence on On-Premise Infrastructure

The Microsoft Access-based solution operated within an on-premise environment.

This limited remote accessibility and made it difficult for users working from different locations to review documents, investigate exceptions, and access reports.

4. Manual Delivery Docket Data Extraction

Delivery docket documents were not consistently available as structured data.

Users had to open and review documents manually to identify store information, supplier details, product quantities, document numbers, and other values required for matching.

5. Technical Reporting Dependency

Business reporting relied heavily on Microsoft Access queries.

Generating or modifying reports often required technical knowledge, limiting the ability of operational users to obtain information independently.

6. Limited Audit Visibility

Because processing activities were spread across different systems, it was difficult to maintain a unified record of:

How a document was processed
Why a record failed to match
What information was manually corrected
Who performed an action
When an exception was resolved

AI-Powered Invoice Processing Automation Solution

Satva Solutions designed and implemented a centralized, cloud-based Invoice and Delivery Docket Automation Platform.

The solution consolidates document ingestion, OCR extraction, invoice matching, exception handling, reporting, and audit tracking into one integrated system.

The project reflects a broader accounting automation approach where document capture, validation, matching, and exception handling work together.

1. Automated Invoice Data Ingestion

The platform automatically processes structured supplier invoice files and stores the relevant invoice information in a centralized database.

The ingestion process validates incoming data and captures important invoice details, including:

Supplier information
Invoice number and date
Store information
Product or item details
Quantities
Other information required for matching

This eliminates the need to manually import invoice records into the legacy Microsoft Access system.

2. Centralized Delivery Docket Retrieval

Delivery docket documents are retrieved from the connected document repository and linked with the corresponding processing records.

Users can access supporting documents directly from the centralized platform without searching through separate folders or systems.

Invoice management dashboard showing OneDrive sync, document matching, invoices, delivery dockets, and statuses

3. OCR-Based Invoice and Delivery Docket Data Extraction

Optical Character Recognition technology extracts relevant information from delivery docket documents.

The platform captures and structures values such as:

Delivery docket number
Supplier details
Store or delivery location
Product information
Delivered quantities
Document dates
Other configurable matching fields

Extracted information is stored alongside the original document, allowing users to verify the OCR result whenever required.

Delivery docket details dashboard showing document preview, extracted fields, confidence scores, notes, and matching status

Learn how OCR and AI invoice extraction can convert scanned financial documents into structured data for downstream processing.

4. Automated Invoice-to-Delivery-Docket Matching

The platform compares structured supplier invoice data with information extracted from delivery dockets.

Matching rules evaluate relevant data points, including:

Supplier
Store
Document reference
Product or item
Quantity
Date
Other business-defined matching criteria

Records that satisfy the configured rules are automatically matched, while uncertain or conflicting records are routed for review.

5. Invoice Matching Exception Management

Documents that cannot be matched automatically are displayed in a centralized exception workspace.

Users can investigate issues such as:

Missing delivery dockets
Quantity mismatches
Incorrect store assignments
Missing or unreadable document information
Duplicate records
OCR extraction errors
Unmatched invoice or docket lines

The platform provides the supporting information required to review, correct, and resolve each exception efficiently.

6. Invoice Processing Dashboards and Reporting

Operational dashboards provide visibility into the overall status of invoice processing.

Users can monitor:

Total invoices received
Automatically matched records
Unmatched records
Missing delivery dockets
Quantity discrepancies
Pending exceptions
Resolved exceptions
Processing trends across suppliers and stores

Reports can be filtered using relevant criteria such as supplier, store, processing status, invoice date, and exception type.

This enables business users to access meaningful information without writing Microsoft Access queries.

Invoice automation dashboard showing match rate, invoice status, supplier activity, and matching trend analytics

InvoiceFlow reports dashboard with store selection, report type, invoice date range, and report generation controls

7. Complete Audit and Processing History

The platform records important system and user activities throughout the invoice-processing lifecycle.

Audit information includes:

File ingestion
Document retrieval
OCR processing
Automated matching results
Manual corrections
Exception status changes
User actions
Processing errors
Relevant timestamps

This provides stronger accountability and makes historical investigations easier.

InvoiceFlow activity log showing user actions, matching status, stores, invoice numbers, and docket numbers

8. Cloud-Based, Multi-Location Access

The new platform replaces the limitations of the on-premises Microsoft Access solution with a secure web-based application.

Authorized users can review invoices, access delivery docket documents, resolve exceptions, and generate reports from different business locations.

The centralized architecture also provides a scalable foundation for supporting additional stores, suppliers, users, and document volumes.

InvoiceFlow storage settings showing OneDrive connection, OAuth status, and invoice and docket folder paths

9. Role-Based User Management and Permissions

The platform includes role-based user management to control access according to each user’s responsibilities.

Administrators can assign roles and configure permissions for features, data, and actions, ensuring users can access only the information and functions.

InvoiceFlow user management settings showing roles, store access, permissions, status, and user accounts

10. Automated OneDrive Document Synchronization

A configurable synchronization scheduler automatically retrieves new and updated invoice and delivery docket documents from OneDrive at defined intervals.

This removes the need for users to fetch or upload documents manually and ensures the platform processes the latest available files on schedule.

InvoiceFlow sync schedule settings showing delivery docket and invoice sync cadence, time, and scheduling controls

Satva also works with the OneDrive API using Microsoft Graph for secure document retrieval, synchronization, and background processing.

Building a Scalable Invoice Processing Automation Platform

Satva Solutions transformed the client’s disconnected invoice verification process into a centralized, cloud-based document automation platform.

By combining structured invoice ingestion, delivery docket retrieval, OCR extraction, intelligent matching, exception management, reporting, and audit tracking, role-based access, and scheduled onedrive synchronization, the solution provides users with one reliable system for managing the complete invoice verification lifecycle.

Operational teams can now identify discrepancies faster, investigate issues from a single workspace, and access business-critical information without depending on on-premise infrastructure or complex Microsoft Access queries.

The result is a more efficient, transparent, and scalable invoice-processing operation.

Less manual matching. Faster exception resolution. Complete invoice visibility.

Invoice Automation Technology Stack

Frontend: Modern web-based user interface
Backend: .NET-based API architecture
Database: Secure relational database
Document Processing: OCR and structured data extraction
Document Integration: Central document repository integration
Reporting: Operational dashboards and exportable reports
Hosting: Secure cloud infrastructure
Security: Role-based access and audit tracking

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