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Automating B2B e-commerce order processing: Intake, validation, and fulfillment made easy

At a glance

B2B ecommerce order processing is complex, with orders arriving via emails, spreadsheets, portals, and PDFs.

Manual data entry and inconsistencies slow fulfillment and increase error rates.

AI-assisted extraction, validations, and human oversight standardize intake and improve accuracy.

Moxo automates multi-channel order processing with secure workflows that speed fulfillment and enhance visibility.

Streamlining order processing challenges for B2B companies

For B2B companies, order processing is the backbone of client relationships. Unlike B2C transactions, where orders flow neatly through a shopping cart, B2B orders often come in multiple formats. One client may send a purchase order via email, another submits a CSV export from their procurement system, while others rely on portals or PDFs. These varied channels create significant challenges for operations teams.

A survey by Digital Commerce 360 found that 42 percent of B2B organizations still process orders manually, often re-entering data into ERP systems. This not only wastes time but also introduces errors that delay fulfillment and harm customer trust. Automating B2B ecommerce order processing is no longer optional. Companies that streamline intake, validation, and release processes can significantly improve accuracy, reduce cycle times, and scale without adding headcount.

Moxo provides the orchestration layer that connects AI-powered extraction with human oversight, ensuring every order is processed accurately regardless of source.

Intake channels & normalization

The messy reality of B2B orders

B2B buyers do not follow one standard format. Some send structured EDI feeds, but many still rely on legacy approaches such as emailing POs or attaching CSVs. For operations teams, this variety requires constant normalization before orders can enter ERP systems.

Why normalization matters

Without normalization, teams must manually adjust fields, reconcile missing data, and chase clarifications from clients. This slows down the order-to-cash cycle and increases error rates. Normalization ensures that regardless of the source, every order follows a consistent data model before validation and approval.

How Moxo supports intake

Moxo provides intake workflows that handle multiple entry points:

  • Email capture: Orders arriving in inboxes are automatically ingested and routed.
  • CSV uploads: Structured data files are normalized into fields ready for validation.
  • Portal forms: Clients submitting through portals trigger workflows without manual re-entry.
  • PDF POs: AI-assisted extraction converts unstructured documents into usable data.

By consolidating intake, Moxo eliminates the need for fragmented processes and centralizes order management.

AI-assisted extraction (emails, CSVs, PDFs)

From unstructured to structured data

Emails and PDF purchase orders often contain critical data buried in text. Moxo’s AI Form Agent extracts fields such as order numbers, SKUs, quantities, and delivery addresses. CSV uploads are automatically mapped to the right fields, even when column headers differ across clients.

Confidence thresholds and validation

AI extraction is never perfect. Moxo applies confidence thresholds to each field. High-confidence values are accepted automatically, while low-confidence values are flagged for review. This reduces manual work while maintaining accuracy.

Human-in-the-loop oversight

When extraction falls below thresholds, Moxo routes the order to a human reviewer. Using Magic Links, external stakeholders or clients can confirm details directly, ensuring that clarifications happen quickly without disrupting workflows.

Example use case

A supplier receiving daily CSV files from multiple distributors can ingest all files into Moxo. The system extracts and validates the data, automatically pushing orders into the ERP once approved. For orders with missing product codes, Moxo flags them for review and sends a Magic Link to the distributor for correction.

Validation & approvals

Why validation is critical

Even once extracted, data needs to be validated. Common errors include invalid SKUs, incorrect pricing, or mismatched shipping details. Without validation, these errors propagate downstream, causing fulfillment delays and invoicing disputes.

Moxo’s validation layers

Moxo enables multi-step validation:

  • System validations: Check data against ERP or inventory systems.
  • Business rule validations: Ensure discounts or credit limits are within policy.
  • AI validations: Flag anomalies such as unusually large quantities.

Approvals and oversight

Certain orders require approvals, such as those exceeding budget thresholds or involving high-value items. Moxo routes these to managers for eSign approval, ensuring accountability and compliance while maintaining speed.

Release to fulfillment

Reducing bottlenecks

Once validated and approved, orders must reach fulfillment quickly. Delays at this stage create backlogs that affect delivery SLAs and customer satisfaction. Moxo integrates with ERP and warehouse systems to ensure orders flow seamlessly into operational queues.

Exception handling

Orders flagged for issues such as stock shortages or credit risks are routed to the appropriate team. This targeted approach avoids stalling all orders while still addressing exceptions responsibly.

Example architecture

A manufacturing company processes orders from both email and portal intake. Moxo normalizes data, validates it, and routes approvals to sales managers. Once approved, orders are exported into Oracle ERP for fulfillment. Exceptions such as stock shortages are flagged, and resolution workflows are triggered within Moxo.

Reporting & error reduction

The cost of errors

Manual re-entry errors cost companies both revenue and reputation. Incorrect SKUs, wrong delivery addresses, or missed approvals can delay shipments and lead to disputes.

Moxo dashboards

Moxo provides reporting dashboards that track:

  • Error rates: Showing where data inconsistencies arise.
  • Cycle times: Measuring how long orders take from intake to release.
  • Approval bottlenecks: Identifying which teams slow down processing.
  • Fulfillment visibility: Monitoring how quickly orders move through ERP and warehouse systems.

Continuous improvement

These insights help leaders refine workflows. For instance, if cycle times spike for CSV orders, leaders can standardize file formats with clients. If approval delays persist in finance, thresholds can be adjusted. Over time, this reduces errors and accelerates processing.

Comparison table: Manual vs automated B2B order processing

Step Manual process Automated with Moxo
Intake Orders arrive in multiple formats, requiring manual entry Orders ingested from emails, CSVs, PDFs, and portals
Extraction Data manually copied into ERP AI extracts and validates key fields
Validation Errors caught late, often by clients System, business rule, and AI validations prevent disputes
Approvals Slow, email-based approvals with no audit trail eSign approvals routed based on rules
Fulfillment Delays due to exceptions and rework Orders are released quickly, with exceptions routed for resolution
Reporting Limited visibility, errors tracked reactively Dashboards provide real-time error and cycle time metrics

How Moxo helps

Moxo transforms messy B2B order intake into a structured, auditable workflow. Instead of teams juggling emails, CSVs, and PDFs, Flow Builder consolidates intake channels into a single process. Orders arriving via inbox, portal, or file upload are ingested automatically, while the AI Form Agent extracts and validates key fields such as SKUs, quantities, and delivery addresses. Low-confidence values trigger human-in-the-loop reviews, ensuring accuracy without overwhelming staff with manual entry.

Once data is normalized, business rule validations and policy thresholds kick in. Small-value orders can be released automatically, while larger or compliance-sensitive ones route to managers for eSign approval. Vendors or external partners can confirm details via Magic Links, eliminating back-and-forth email threads while still preserving a secure, auditable trail. By combining automation with oversight, Moxo ensures approvals and exceptions are handled quickly and consistently.

Standardize intake and improve accuracy

B2B ecommerce order processing is complex because of the variety of intake channels and the risk of errors at every stage. Manual methods cannot keep up with the speed and accuracy required by modern supply chains. 

Moxo provides AI-assisted extraction, validation layers, and human-in-the-loop oversight that streamline orders from email, CSV, and portal intake to fulfillment. Reporting dashboards close the loop by giving leaders the visibility needed to continuously improve. To see how Moxo can help your team eliminate order processing bottlenecks, book a demo.

FAQs

How does Moxo handle PDF or email-based orders?

Moxo uses its AI Form Agent to extract structured fields from unstructured documents like PDFs or emails. Low-confidence extractions are routed for human review to maintain accuracy.

Can external stakeholders confirm order details?

Yes. Using Magic Links, Moxo allows external reviewers such as vendors or clients to review and correct order data without needing system access.

How does Moxo integrate with ERP systems?

Approved and validated orders are exported directly into ERP platforms for fulfillment. Integrations ensure consistency across CRM, ERP, and warehouse systems.

What types of errors does Moxo prevent?

Moxo catches errors such as invalid SKUs, incorrect pricing, missing customer details, and policy violations during the validation stage.

How does Moxo improve reporting?

Dashboards provide visibility into error rates, cycle times, and bottlenecks. This allows leaders to track improvements and optimize workflows continuously.

From manual coordination to intelligent orchestration