Use case
Use case
Use case
How to automate EDI workflows when suppliers do not support EDI?
How to automate EDI workflows when suppliers do not support EDI?
How to automate EDI workflows when suppliers do not support EDI?
Most suppliers do not support EDI, forcing operations teams to rely on emails, PDFs, portals and spreadsheets to process orders and confirmations. Trame automates these EDI-adjacent workflows by extracting structured data, validating exceptions, and generating ERP-ready files without requiring EDI infrastructure.
Most suppliers do not support EDI, forcing operations teams to rely on emails, PDFs, portals and spreadsheets to process orders and confirmations. Trame automates these EDI-adjacent workflows by extracting structured data, validating exceptions, and generating ERP-ready files without requiring EDI infrastructure.
Most suppliers do not support EDI, forcing operations teams to rely on emails, PDFs, portals and spreadsheets to process orders and confirmations. Trame automates these EDI-adjacent workflows by extracting structured data, validating exceptions, and generating ERP-ready files without requiring EDI infrastructure.


Challenge
Challenge
Challenge
EDI is powerful but incomplete. Many suppliers — even large ones — do not support it, partially support it, or support only a subset of transactions (such as 850 but not 855). As a result, distributors must handle:
Emails with attached PDFs or spreadsheets
Order confirmations arriving in inconsistent formats
Supplier portals requiring manual navigation and copy-paste
Pricing, quantities, or lead times communicated informally
Frequent discrepancies requiring manual reconciliation
The gap between structured EDI and unstructured supplier communication creates:
Slow order processing
Data entry errors
Lost confirmations or partial updates
A lack of visibility into exceptions and mismatches
Growing operational workload as volumes scale
Traditional EDI systems cannot automate these unstructured workflows.
EDI is powerful but incomplete. Many suppliers — even large ones — do not support it, partially support it, or support only a subset of transactions (such as 850 but not 855). As a result, distributors must handle:
Emails with attached PDFs or spreadsheets
Order confirmations arriving in inconsistent formats
Supplier portals requiring manual navigation and copy-paste
Pricing, quantities, or lead times communicated informally
Frequent discrepancies requiring manual reconciliation
The gap between structured EDI and unstructured supplier communication creates:
Slow order processing
Data entry errors
Lost confirmations or partial updates
A lack of visibility into exceptions and mismatches
Growing operational workload as volumes scale
Traditional EDI systems cannot automate these unstructured workflows.
EDI is powerful but incomplete. Many suppliers — even large ones — do not support it, partially support it, or support only a subset of transactions (such as 850 but not 855). As a result, distributors must handle:
Emails with attached PDFs or spreadsheets
Order confirmations arriving in inconsistent formats
Supplier portals requiring manual navigation and copy-paste
Pricing, quantities, or lead times communicated informally
Frequent discrepancies requiring manual reconciliation
The gap between structured EDI and unstructured supplier communication creates:
Slow order processing
Data entry errors
Lost confirmations or partial updates
A lack of visibility into exceptions and mismatches
Growing operational workload as volumes scale
Traditional EDI systems cannot automate these unstructured workflows.
Solution
Solution
Solution
Trame replaces manual non-EDI processes by orchestrating a full AI-powered workflow that mirrors the behavior of EDI transactions — without requiring suppliers to support any technology.
The workflow uses micro-actions and isolated reasoning to extract, validate, and transform vendor communications into clean, structured data ready for ERP ingestion.
Trame replaces manual non-EDI processes by orchestrating a full AI-powered workflow that mirrors the behavior of EDI transactions — without requiring suppliers to support any technology.
The workflow uses micro-actions and isolated reasoning to extract, validate, and transform vendor communications into clean, structured data ready for ERP ingestion.
Trame replaces manual non-EDI processes by orchestrating a full AI-powered workflow that mirrors the behavior of EDI transactions — without requiring suppliers to support any technology.
The workflow uses micro-actions and isolated reasoning to extract, validate, and transform vendor communications into clean, structured data ready for ERP ingestion.
Results
Results
Results
Automates order confirmation workflows when EDI is not available
Reduces manual data entry and exception handling
Provides real-time visibility into discrepancies
Creates consistent, structured data for ERP ingestion
Scales across thousands of supplier communications with no added overhead
Automates order confirmation workflows when EDI is not available
Reduces manual data entry and exception handling
Provides real-time visibility into discrepancies
Creates consistent, structured data for ERP ingestion
Scales across thousands of supplier communications with no added overhead
Automates order confirmation workflows when EDI is not available
Reduces manual data entry and exception handling
Provides real-time visibility into discrepancies
Creates consistent, structured data for ERP ingestion
Scales across thousands of supplier communications with no added overhead
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