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Deploy Matterway’s improvements to exactly the right employees and teams

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Capture work on the click-level, as your employees perform it in their actual day-to-day

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Use Cases
BOM Structuring
Automotive
Manufacturing
Procurement

BOM Structuring

Extract, enrich, and structure Bill of Materials data from multiple unstructured Excel files using AI-driven identification and multi-system validation, ensuring accurate and complete component records for upload to the Parts Management System.
SharePoint
Silicon Expert
Excel
Custom-Built Parts Management System
AI / Copilot
Reduction in Average Handling Time
24 → 9 Minutes
Reduction in Required User Actions
202 → 27 Actions
Annual FTE Savings
15 FTE
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Reduction in Average Handling Time
60 → 12 Minutes
Reduction in Required User Actions
185 → 18 Actions
Annual FTE Savings
12 FTE
Smoother workflow
Lower risk of production delays
Lower risk of errors
Faster turnaround times
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Content
Background Info
Process Overview
UX Improvements
How it Works
Background Info
Type of Company: Back office of an automotive / manufacturing corporate
Business Process Scenario:

Engineering and procurement teams regularly need to create structured Bills of Materials from unstructured supplier spreadsheets. Component data arrives in varying formats across multiple Excel files. Buyers must manually identify relevant parts, enrich records with missing technical specifications, cross-reference against parts databases like SiliconExpert, and prepare a clean CSV for upload to the Parts Management System. The process is time-consuming, error-prone, and spans multiple systems.
# of Monthly Transactions: [TBD]
Process Overview
Task Description
  1. Upload and consolidate multiple unstructured Excel files
  2. Manually identify relevant data points and headers across sheets
  3. Research and fill in missing technical specifications on third-party sites
  4. Review and correct data manually across spreadsheets
  5. Cross-reference parts across SiliconExpert and PMS manually
  6. Resolve duplicate or ambiguous part matches by researching each one
  7. Manually convert final data to CSV and format for PMS upload
Assisted Task with Matterway
  1. Assistant facilitates upload of multiple files into a single working environment
  2. Assistant guides targeted selection of required BOM data points
  3. AI model enriches sheet with missing specs using structured prompts and detects generic parts
  4. AI output presented in easy-to-review format with NOK flags for manual adjustment
  5. Assistant automatically aligns data across BOM, SiliconExpert, and PMS
  6. Screen-aware assistant pauses for manual selection when multiple matches exist, then resumes
  7. Assistant automatically converts to CSV and prepares file for PMS upload
UX Improvements
Toggling between SharePoint, Excel, SiliconExpert, and PMS
Manual research for missing technical specifications on external databases
Error-prone multi-step data entry across unstructured files
Automations break when encountering ambiguous or duplicate parts
Work on entire task in one single guided view
AI-driven enrichment fills gaps automatically using structured prompts
Guided experience with built-in validation and NOK flagging
Screen-aware assistant pauses for human decision, then resumes instantly
Matterway Solution: How it Works

The Assistant triggers directly over engineering spreadsheets in SharePoint to help buyers identify and extract specific component data from multiple unstructured Excel files. It streamlines the creation and enrichment of a Bill of Materials (BOM) by operating as a contextual layer that guides the user through document preparation and data alignment.

1
Document upload

To begin the process, the Assistant facilitates the upload of multiple unstructured Excel sheets. It handles various file formats and layouts simultaneously, allowing the user to consolidate all necessary raw data sources into a single working environment.

2
Targeted data selection

The Assistant helps the user navigate the uploaded documents to select the specific data points required for the BOM. This ensures that only relevant information is extracted from the unstructured sheets, providing a clean foundation for the subsequent automation and enrichment steps.

3
AI-driven technical enrichment

The Assistant feeds the selected data into a locally running AI model using structured prompts. This automatically enriches the sheet with missing technical specifications (capacities, voltages, dielectric info) and detects generic parts within the Bill of Materials that require more specific identification.

4
Review and manual adjustment

The AI-generated output is presented in an easy-to-digest format for immediate inspection. The user can review the enriched data and perform any necessary manual adjustments or refinements directly within the Excel file to ensure complete accuracy before the data is synchronized. Entries flagged as NOK are highlighted for attention.

5
Multi-system data alignment

The Assistant automatically aligns data between the Bill of Materials, SiliconExpert, and the internal Parts Management System. By cross-referencing these platforms, it ensures that part numbers, lifecycle statuses, and technical data are consistent across all systems prior to upload.

6
Intelligent manual intervention

As a screen-aware helper, the Assistant identifies cases where multiple part matches exist and pauses the automation. This allows the buyer to manually intervene, select the correct component, and unblock the process, ensuring the data is 100% correct.

7
Final conversion and upload

In the final step, the Assistant automatically converts the structured and enriched data into the required CSV format. It then handles the final preparation for the Parts Management System, ensuring the file is formatted correctly for a successful and error-free upload.

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Matterway is an enterprise-grade, AI-native intelligent assistance platform that simplifies complex employee workflows for large organizations and BPOs. Combining AI agents, automation, UX, and human-in-the-loop capabilities, it helps amplify human potential at scale. Acquired by Cognizant (Nasdaq: CTSH) in October 2025.
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