How to Prevent EDI Errors Before They Become Retailer Chargebacks

If you are looking for ways to prevent retailer EDI errors, this guide will help.

1. Retailer Chargebacks Usually Start Before the EDI Transaction Fails

1.1 Technical EDI Accuracy Is Only One Part of Compliance

EDI teams understandably pay close attention to document structure, mapping, transmission, and acknowledgments. Those controls matter, but they do not confirm that the commercial transaction is correct.

An EDI 856 can be structurally valid while reporting the wrong shipped quantity. A purchase order acknowledgment can follow the correct format while promising inventory the supplier cannot actually deliver. Likewise, an invoice may pass technical validation and still use an outdated price.

The distinction is critical. Technical validation asks whether a document follows the required electronic structure. Business validation asks whether that document accurately represents the order, warehouse activity, shipment, and commercial terms.

X12 defines supply-chain transactions such as the 850 Purchase Order, 855 Purchase Order Acknowledgment, 856 Ship Notice/Manifest, and 810 Invoice within a connected business flow. That relationship is important because an error created early in the chain can affect several later transactions.

1.2 Preventing EDI Chargebacks Requires Upstream Controls

The best time to fix an incorrect product mapping is before inventory gets allocated. Correcting an SSCC relationship is easier while the carton is still in the warehouse. Similarly, a shipment-quantity discrepancy should be resolved before the ASN leaves the supplier’s system.

Once incorrect information reaches the retailer, several teams may become involved. Customer service may investigate the order, warehouse managers may review packing records, IT may inspect EDI logs, and finance may research the resulting deduction.

Effective EDI chargeback prevention therefore moves validation closer to the point where information is created.

2. How to Prevent Retailer EDI Errors at the Purchase Order Stage

2.1 Validate the EDI 850 Before Releasing the Order

The EDI 850 Purchase Order establishes the commercial starting point for many retailer transactions. If information enters the supplier’s operating system incorrectly at this stage, later documents can inherit the same problem.

The translated order should be checked against internal customer, product, pricing, and location records before fulfillment begins.

Retailer PO Data	Internal Validation
PO number	Customer order record
Product identifier	Item master
Quantity	Sales-order line
Unit of measure	Item and pack configuration
Price	Customer-specific pricing
Ship-to location	Location master
Requested dates	Fulfillment rules

A missing item mapping should create an exception rather than silently entering the sales order. The same principle applies to invalid destinations, unexpected pricing, or unsupported units of measure.

Companies that prevent retailer EDI errors at this stage reduce the chance that incorrect information will move into allocation, picking, packing, and shipping.

2.2 Do Not Automatically Treat Every Incoming Order as Executable

Automation should speed up normal transactions without removing commercial judgment.

Suppose a retailer orders an item that has been discontinued. Another order may request 300 cases even though available inventory can support only 180. A third could contain a price that conflicts with the current customer agreement.

Automatically releasing those orders may create downstream problems even though the inbound EDI file itself is valid.

A controlled workflow should separate routine transactions from exceptions. Straightforward orders can continue without intervention, while unusual conditions move to a defined owner for review.

This approach supports scale without turning automation into an uncontrolled pass-through.

3. Prevent Retailer EDI Errors With Better Master Data

3.1 Product Identifiers Must Stay Consistent Across Systems

A single physical product can carry several identifiers. Internal SKU, UPC, GTIN, retailer item number, vendor style, color, and size may all describe different dimensions of the same item.

Problems begin when the relationship between those identifiers becomes unreliable.

An apparel supplier, for example, might sell the same shirt in six sizes and five colors. A retailer could identify each variant using its own item numbers, while the supplier’s warehouse relies on internal SKUs and barcode values.

If one mapping is wrong, EDI can transmit the incorrect retailer identifier repeatedly until someone fixes the underlying master record.

Businesses trying to prevent retailer EDI errors should therefore treat product cross-references as governed operational data rather than one-time setup work.

3.2 Units of Measure and Case Packs Create Hidden Risk

Pack configuration errors are particularly dangerous because the numbers can look reasonable.

Imagine that a retailer orders four cases, each containing twelve units. If the supplier interprets the request as four individual units, the order can move through several systems without creating an obvious technical error.

The discrepancy becomes visible only when fulfillment or receiving occurs.

UOM conversions, case quantities, inner packs, pallet configurations, and retailer-specific pack rules should therefore remain under controlled master-data ownership.

3.3 Customer and Location Data Deserve the Same Discipline

Retailer identifiers, bill-to records, ship-to locations, distribution centers, customer-specific terms, and routing information can also create repeat failures.

A location-code problem is rarely solved permanently by correcting one order. The underlying customer or location record needs to be fixed so future transactions use the correct value.

For inventory-driven companies that have outgrown disconnected applications, an operational platform such as XoroERP can centralize customer, inventory, purchasing, accounting, warehouse, manufacturing, and related transaction data.

The important principle is broader than any one product: downstream EDI should pull from governed operational records rather than manually maintained duplicate data.

4. Prevent EDI Chargebacks by Keeping EDI 855 Commitments Realistic

4.1 Purchase Order Acknowledgments Should Reflect Operational Reality

An EDI 855 communicates how the supplier intends to respond to the retailer’s order. That response may include accepted quantities, rejected lines, substitutions, status codes, and delivery commitments.

Problems arise when automation sends an acknowledgment before the business has enough information to support the promise.

Inventory could already be committed elsewhere. An inbound purchase order might be delayed. Production capacity may be constrained. A warehouse could be unable to meet the requested shipping window.

An acknowledgment that ignores those conditions creates a gap between what the supplier told the retailer and what operations can actually deliver.

4.2 Availability Checks Should Use Reliable Inventory

Retailers often expect suppliers to make commitments quickly, which creates pressure to automate acknowledgments.

Automation works best when available inventory is reliable.

A company selling through Shopify, wholesale accounts, marketplaces, and several warehouses cannot safely base commitments on stale stock numbers. Inventory available to one channel may already be committed to another.

A connected inventory model helps prevent retailer EDI errors because acknowledgments are based on a current operational picture instead of an isolated balance.

4.3 Order Changes Must Propagate Beyond the EDI Layer

Retailers can change quantities, dates, items, destinations, or other instructions after issuing the original purchase order.

When that update reaches the EDI platform but does not change the ERP order or warehouse task, employees may continue executing obsolete instructions.

The system should determine how far fulfillment has progressed before accepting a change automatically. An order that has not been allocated may be easy to update. A carton already loaded onto a truck may require a controlled exception.

The central rule is straightforward: the latest approved retailer instruction must become the instruction used by operations.

5. Warehouse Execution Determines Whether ASN Data Is Trustworthy

5.1 The Sales Order Shows Intent; the Warehouse Shows What Happened

Sales orders describe what the company plans to fulfill. Warehouse execution establishes what physically occurred.

That difference makes warehouse data essential to retailer EDI compliance.

Suppose an order calls for 500 units. Allocation reserves 490. Pickers locate 488. Quality inspection removes three damaged units, leaving 485 for shipment.

An ASN generated from the sales order would report 500. One created from allocation could show 490. Even a pick-based quantity of 488 would still be inaccurate.

The correct final quantity is 485 because that is what physically shipped.

A warehouse process therefore needs to record actual item, quantity, carton, destination, and shipment information before the ASN is finalized.

5.2 Barcode Validation Stops Errors While They Are Still Operational

Barcode scanning adds value because it checks the transaction at the location where the physical event occurs.

A picker scanning the wrong item can receive an immediate warning. Packing controls can verify that the product belongs in the expected carton. Shipment confirmation can determine whether every required logistics unit was actually loaded.

Once those events are recorded electronically, downstream systems have better information from which to create ASNs and inventory movements.

A connected XoroWMS workflow is one example of using barcode-based warehouse execution to link receiving, picking, packing, shipping, and inventory control.

Regardless of the WMS selected, the design objective remains the same: capture operational truth before producing retailer-facing data.

6. Prevent Retailer EDI Errors by Synchronizing Cartons, SSCCs, and ASNs

6.1 An SSCC Is More Than a Printed Number

The Serial Shipping Container Code identifies a logistics unit such as a case, pallet, or parcel. GS1 explains that SSCC identification allows physical logistics units to be associated with relevant electronic business information.

A useful internal relationship therefore looks like this:

SSCC → Physical Logistics Unit → Carton Contents → Shipment → Purchase Order

The barcode itself is only the visible identifier. Accurate system relationships behind that identifier are what make automated receiving work reliably.

6.2 Carton Changes Need Digital Updates

Warehouse teams often need to adjust packaging.

A carton may exceed a carrier weight limit. Damaged product might need to be removed. Workers could consolidate two cartons or divide one carton into several logistics units.

If those physical changes occur after label creation without updating electronic records, the ASN can become inaccurate.

Companies that consistently prevent retailer EDI errors treat repacking as a transactional event. When a physical logistics unit changes, its digital record must change as well.

6.3 Validate Label-to-Carton Relationships Before Loading

A practical control is to scan the logistics label before the carton moves to final shipment confirmation.

The scan can determine whether the SSCC exists, belongs to the expected shipment, contains the expected items, and has not already been used elsewhere.

Catching that mismatch on the dock is far easier than explaining it after retailer receiving reports a discrepancy.

7. EDI 856 Validation Should Use the Final Physical Shipment

7.1 Prevent ASN Errors by Building From Shipment Confirmation

The ASN should answer a simple question: what is actually on its way to the retailer?

It should not recreate the purchase order.

Before generating the final EDI 856, the system needs confirmed shipment information, including relevant carrier data, destination, shipped quantities, carton relationships, and SSCC identifiers.

This sequence matters. If ASN creation occurs before packing and loading stabilize, later warehouse changes can leave the document out of sync.

7.2 Validate the Business Meaning as Well as the EDI Structure

Technical validation remains necessary. Required segments, data types, qualifiers, versions, and retailer-specific implementation requirements all need to pass.

Business validation adds another layer.

Does the ASN reference the correct PO? Are quantities possible? Do the reported cartons exist? Does each SSCC belong to the shipment? Does the destination agree with the order?

Combining those checks helps prevent retailer EDI errors that syntax validation alone cannot detect.

7.3 Treat ASN Timing as an Operational SLA

Each retailer or program can establish its own ASN timing rules.

Businesses should therefore store the requirement as part of the trading-partner configuration rather than relying on staff memory.

Shipment confirmation can trigger ASN generation automatically, but the automation should remain visible. If the document fails validation or transmission, the exception needs immediate ownership.

The goal is not merely to send documents faster. It is to make sure the correct document reaches the retailer at the correct stage of physical fulfillment.

8. Prevent Retailer EDI Errors by Monitoring Acknowledgments

8.1 “Sent” Is Not a Reliable Final Status

An EDI document leaving the supplier’s system does not prove that the trading partner successfully processed it.

A useful status model continues beyond transmission:

Created → Validated → Sent → Acknowledged → Accepted or Rejected → Resolved

X12’s functional acknowledgment framework illustrates why the distinction matters. A functional acknowledgment can report syntactical processing status, while business correctness requires additional validation.

A document may therefore clear the technical layer while still creating an operational exception.

8.2 Every Failed EDI Transaction Needs an Owner

Alerts alone do not solve errors.

An actionable exception should identify the retailer, affected PO, transaction type, error condition, severity, timestamp, responsible team, and next action.

Different problems naturally belong to different owners. An invalid SKU mapping may require master-data support. A carton discrepancy may need warehouse review. Pricing differences can involve sales operations or finance.

Routing errors correctly reduces resolution time and makes recurring failures easier to analyze.

8.3 Retransmission Controls Prevent Duplicate Documents

Automated retries create another risk when systems cannot tell whether the retailer received the original message.

Before resending an ASN or invoice, the process should confirm document identity and prior status.

Duplicate transaction IDs, repeated invoices, or unnecessary ASN retransmissions can create additional exceptions instead of solving the first one.

9. Prevent Invoice EDI Errors Before the EDI 810 Is Sent

9.1 The Invoice Should Follow the Final Commercial Event

Invoice generation should not create another interpretation of the order.

The EDI 810 should reconcile with the retailer PO, approved commercial terms, and final shipment.

If 96 units shipped against an order for 100, the invoicing process needs to understand that outcome. Simply copying the original order quantity risks creating a billing discrepancy.

Pricing also deserves validation. A valid EDI invoice can still be wrong when customer-specific pricing, allowances, freight terms, or other commercial values are outdated.

9.2 Duplicate Invoice Controls Matter

High-volume environments often automate invoice transmission after shipment confirmation.

That can be efficient, but system retries, manual intervention, or integration failures can occasionally create duplicate documents.

Unique invoice identifiers and transmission-status controls should prevent the same invoice from being processed twice.

A robust workflow also preserves enough history to show which purchase order, shipment, and ASN produced each invoice.

That audit chain becomes especially valuable when finance needs to investigate a deduction.

10. Integrated ERP, WMS, and EDI Can Reduce Manual Handoffs

10.1 Fragmented Systems Create Multiple Versions of the Same Order

Growing product businesses often build their software stack gradually.

Shopify manages ecommerce. Accounting may live in another application. An inventory tool tracks stock. The warehouse uses a separate WMS. EDI operates through another provider. Teams supplement gaps with spreadsheets.

Each application may perform its individual job well. The problem appears when the same transaction has to cross all of them.

Employees start re-entering data. One application receives updates that another misses. Inventory balances diverge. Shipment information must be reconstructed before ASN transmission.

The purpose of Xorosoft integrations or any comparable integration architecture should be to remove unnecessary re-entry and establish clear systems of record.

10.2 A Connected ERP Should Coordinate the Commercial Transaction

ERP can provide a central operating layer for customer data, items, inventory, orders, purchasing, accounting, and fulfillment-related information.

That architecture helps prevent retailer EDI errors when EDI transactions read verified operational data rather than independently maintained copies.

Still, integration alone does not guarantee compliance. Retailer rules require configuration, warehouse processes need controls, mappings require testing, and exceptions need active monitoring.

Technology creates the foundation. Governance determines whether the foundation stays reliable.

10.3 XoroONE and Similar Platforms Fit a Different Complexity Level

Not every inventory business needs the same system footprint.

Companies with simpler operational requirements may prioritize unified inventory, purchasing, ecommerce, and accounting before they need complex enterprise architecture.

XoroONE represents that broader connected-operating principle for growing inventory businesses.

The decision should follow workflow complexity, transaction volume, warehouse requirements, financial needs, and the number of systems currently requiring manual reconciliation.

11. Shopify-to-Wholesale Growth Creates New EDI Compliance Risks

11.1 DTC Fulfillment Is Different From Retailer Compliance

A Shopify brand can scale direct-to-consumer fulfillment without handling large numbers of EDI purchase orders, routing rules, logistics labels, retailer-specific ASNs, and compliance deductions.

Wholesale expansion changes the operating model.

Inventory may now support Shopify customers, Amazon, wholesale accounts, and major retail partners simultaneously. Some orders move through internal warehouses while others go through 3PL locations.

As channel complexity grows, inventory and fulfillment data must stay synchronized.

11.2 Shared Inventory Should Drive Every Channel

An ecommerce storefront should not show inventory as available when that stock has already been allocated to a retailer purchase order.

Likewise, the wholesale system should not acknowledge quantities already committed to ecommerce demand.

The Xorosoft ERP app for Shopify illustrates one approach to connecting products, inventory, orders, and fulfillment data between ecommerce and ERP operations.

The broader lesson applies regardless of platform choice: channel synchronization belongs inside retailer compliance planning.

When availability is unreliable, acknowledgment errors and short shipments become more likely. Those operational failures can later surface as ASN discrepancies or retailer deductions.

12. Retailer EDI Error Prevention Changes by Industry

12.1 Apparel EDI Compliance Depends on Variant Accuracy

Apparel companies manage styles, colors, sizes, seasons, UPCs, and retailer-specific item relationships.

A single mapping problem can affect only one variant, making it harder to notice during manual review.

Barcode-based warehouse controls and strong item governance are therefore particularly important for fashion brands selling to major retailers.

12.2 Food and Beverage Requires Strong Pack and Traceability Data

Food and beverage operations can add GTINs, lots, expiry information, case configurations, traceability, and handling requirements to the normal EDI workflow.

Pack-level accuracy becomes particularly important because an incorrect unit conversion can create discrepancies across inventory, fulfillment, ASN, and invoicing.

12.3 Furniture Creates Complex Logistics Relationships

Furniture may involve multi-carton products, large-item carriers, routing requirements, appointments, and unusual logistics-unit structures.

If one sellable product travels in several cartons, shipment data needs to represent that physical structure accurately.

12.4 Wholesale Distribution Multiplies Partner Requirements

Distributors often combine thousands of SKUs, multiple warehouses, customer-specific pricing, purchasing requirements, and many retail customers.

The number of possible item, warehouse, routing, and trading-partner combinations grows quickly.

Businesses comparing operational requirements across verticals can review Xorosoft’s industry ERP use cases as one reference point for how inventory workflows differ across wholesale, apparel, furniture, food, manufacturing, and other sectors.

13. EDI Exception Management Should Expose Problems Instead of Hiding Them

13.1 Automation Should Allow Normal Orders to Flow and Abnormal Orders to Stop

The best automation does not eliminate human involvement everywhere.

Instead, it identifies which transactions are routine and which require judgment.

An exact-match PO with valid product mappings, available inventory, and a recognized destination may move automatically. An unknown item number, impossible requested quantity, or missing SSCC should create an exception.

This approach prevents operational teams from reviewing every routine document while still protecting high-risk transactions.

13.2 Use Different Severity Levels for Different EDI Errors

Not every issue deserves the same response.

A low-risk warning may simply require reporting. Medium-severity exceptions can require review. High-severity problems may need approval before processing continues. Critical errors should stop shipment or transmission.

Retailer-specific conditions can determine which category applies.

A missing optional reporting field, for example, may not justify a warehouse hold. A missing SSCC required by the retailer likely requires immediate correction.

13.3 Track Exceptions Through Resolution

Detection is only the first step.

A useful lifecycle might be:

Open → Assigned → Investigating → Corrected → Retransmitted → Accepted → Closed

Keeping this status visible prevents errors from disappearing into email chains or personal task lists.

More importantly, structured exception data creates the foundation for continuous improvement.

14. Root-Cause Analysis Helps Reduce Repeat Retailer Chargebacks

14.1 Do Not Record Every Problem Simply as an “EDI Error”

A document type is not a root cause.

An ASN discrepancy could originate from an incorrect product mapping, bad UOM conversion, warehouse short pick, carton change, SSCC assignment mistake, failed integration, or manual override.

Management needs to know which event actually introduced the wrong data.

Without that distinction, teams repeatedly repair individual transactions while the source continues producing new failures.

14.2 Group EDI Errors by Operational Cause

Useful reporting dimensions include retailer, transaction type, warehouse, item, customer, root-cause code, user or process, and recurring error pattern.

Suppose a company identifies 40 ASN exceptions in a month.

That number alone tells management little. Discovering that 26 of those errors came from carton changes made after label printing provides a clear improvement opportunity.

The warehouse process can then be redesigned so repacking automatically updates label and ASN records.

14.3 Measure Prevention, Not Only Chargeback Totals

Retailer deductions are lagging indicators.

A company should also measure how many errors it catches internally before transmission.

An increase in internally detected exceptions can actually indicate improvement if those problems previously reached customers unnoticed.

The objective is to move failure detection upstream.

15. When to Upgrade the Systems Used to Prevent Retailer EDI Errors

15.1 Repeated Manual Reconciliation Is a Strong Warning Sign

Manual processes are not inherently poor processes.

A company with one retailer, one warehouse, and a small number of transactions may successfully operate through a retailer portal or standalone EDI system.

The model starts to break when growth requires employees to continually reconcile separate versions of the same transaction.

Warning signs include manual PO entry, spreadsheets used for item cross-references, ASNs built from exports, warehouse quantities that regularly differ from EDI quantities, and finance teams spending significant time investigating deductions.

15.2 Evaluate ERP Around Workflow Requirements

Businesses evaluating ERP should not ask only whether a platform “supports EDI.”

A better requirements review asks whether item cross-references can be governed, inventory is current across locations, warehouse execution can drive shipment information, exceptions are visible, and financial records reconcile with fulfillment.

Companies comparing enterprise options may use a neutral Xorosoft vs NetSuite comparison as one input to a broader requirements process.

NetSuite, Acumatica, Microsoft Dynamics 365 Business Central, Sage, Cin7, Fishbowl, Brightpearl, Xorosoft, and specialist EDI providers each address different combinations of operational requirements.

15.3 Do Not Replace an Operating System to Fix One Mapping Error

Not every EDI problem requires ERP.

If inventory is accurate, warehouse records are reliable, orders stay synchronized, and one map contains an isolated configuration error, correcting that mapping is probably the appropriate response.

A broader system change becomes worth evaluating when retailer EDI problems expose persistent fragmentation across inventory, purchasing, warehouse management, ecommerce, manufacturing, accounting, and reporting.

16. Use a Pre-Transmission Workflow to Prevent Retailer EDI Errors

16.1 Validate Commercial Data Before Fulfillment

Order validation should happen before inventory is committed.

Compare retailer item numbers, internal items, quantities, UOM, pricing, ship-to locations, and current order changes.

Critical mismatches should stop order release.

16.2 Confirm Physical Activity Before Finalizing Shipment Documents

Warehouse execution should establish what actually happened.

That means final shipped quantities, cartons, applicable logistics-unit IDs, destination, carrier, and shipment details should be known before the EDI 856 becomes final.

This sequence eliminates many discrepancies caused by generating the ASN from expected fulfillment.

16.3 Reconcile Physical Labels With Electronic Records

The carton and its digital identity must remain aligned.

If a carton changes, update its associated records. When a logistics unit is removed from the shipment, make sure it also disappears from the final ASN.

A physical scan shortly before loading or shipment confirmation can provide an additional control.

16.4 Apply Trading-Partner Rules Before Transmission

Every retailer can have different implementation requirements.

The validation layer should understand mandatory data, document versions, qualifiers, shipment timing, carton structures, and other relevant business rules for that partner.

At this stage, businesses get one final opportunity to prevent retailer EDI errors before the trading partner sees the transaction.

16.5 Keep Monitoring After the Document Leaves

Transmission should begin the final monitoring stage, not end the process.

Required acknowledgments and retailer responses need to be tracked until the transaction reaches a known outcome.

A rejection should trigger a visible workflow with an owner and resolution path.

17. Build One Operational Record From Purchase Order Through Invoice

17.1 Each Downstream Transaction Should Use Verified Upstream Data

A reliable retail process progressively confirms one transaction instead of continually rebuilding it.

The retailer purchase order establishes demand. The ERP sales order translates that demand into an operational commitment. Warehouse activity records what physically happened. The ASN communicates shipment information. Finally, the invoice represents the financial result.

The desired relationship remains:

Retailer PO → ERP Order → Warehouse Shipment → Carton and SSCC → ASN → Invoice

When each stage inherits verified data, the number of places where information can diverge becomes smaller.

Businesses that need a broader view of how ERP, inventory, warehouse management, ecommerce, purchasing, accounting, and related operations connect can review Xorosoft’s ERP and operational solutions.

17.2 The Most Valuable EDI Control May Sit Outside the EDI Platform

A better EDI translator cannot stop an employee from physically packing the wrong product.

Faster transmission does not correct an outdated case pack. Likewise, a successful technical acknowledgment cannot guarantee that a carton contains what the electronic record claims.

Companies that consistently prevent retailer EDI errors therefore treat compliance as a cross-functional operational discipline.

Sales operations, customer service, master-data owners, warehouse teams, finance, and IT all influence whether retailer-facing information remains trustworthy.

18. Practical Takeaway: Prevent Retailer EDI Errors Before the Retailer Finds Them

Retailer chargebacks appear near the end of a workflow, but prevention needs to begin near the start.

Take the recurring deductions already appearing in the business and trace them backward. Begin with the invoice, then examine the ASN, shipment, carton records, labels, warehouse execution, sales order, and original retailer purchase order.

Find the first moment when correct information became incorrect.

If the problem is an item mapping, fix the master-data process. When ASN quantities repeatedly differ from actual shipments, make confirmed warehouse activity the source of shipment data. If carton changes create SSCC mismatches, redesign the packing and labeling workflow. Where acknowledgments remain buried in technical logs, create an owned exception process.

Smaller suppliers may be able to make these improvements without changing their software stack.

Larger inventory-driven organizations often face a different problem. Shopify, wholesale, marketplaces, multiple warehouses, purchasing, accounting, manufacturing, and EDI may operate across several disconnected systems. In that environment, employees spend increasing amounts of time moving and reconciling information instead of managing exceptions.

A connected ERP and WMS architecture can reduce those handoffs, but the business still needs clear ownership, partner-specific rules, disciplined warehouse execution, and active exception management.

The operational goal is simple: prevent retailer EDI errors before inaccurate data or an inaccurate shipment reaches the trading partner.

When the purchase order, inventory record, warehouse activity, carton, SSCC, ASN, and invoice all describe the same event, retailer compliance becomes easier to manage. Chargeback prevention then becomes part of daily execution rather than an after-the-fact finance exercise.

Businesses that want to review where those failure points currently exist can contact Xorosoft to discuss their retailer EDI, ERP, warehouse, inventory, and operational requirements.