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.

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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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