Missed chargeback deadlines from scattered evidence; Shopify+Stripe/Adyen+OMS evidence packs with finance sign-off

Overview

An ecommerce company handled chargebacks ad hoc and struggled with low win rates because evidence lived across payment gateways, Shopify, and the order management system. Deadlines were missed, submissions were inconsistent, and assembling proof took too long. Intelligex connected gateways, Shopify, and the OMS into a dispute orchestration pipeline, generated reason?code?specific evidence packs, and introduced finance?review templates with maker?checker approvals. Dispute responses became consistent, manual assembly dropped, and outcomes improved through standardized documentation—without changing storefronts, gateways, or the ERP.

Client Profile

• Industry: Direct?to?consumer ecommerce
• Company size (range): Multi?brand, multi?region storefronts
• Stage: Shopify for commerce, multiple payment gateways, third?party order management and fulfillment; chargebacks handled via portal downloads and spreadsheets
• Department owner: Finance & Accounting (Revenue Operations/Payments)
• Other stakeholders: Ecommerce Operations, Customer Support, Fraud/Risk, Logistics/3PL, IT/Integrations, Legal/Compliance, Internal Audit

The Challenge

Chargebacks arrived with strict timelines and reason?code requirements, but supporting evidence was scattered. Shopify carried order and refund history, payment gateways stored authorization and dispute details, the OMS tracked fulfillment, and shipping proof lived with carriers or the 3PL. Analysts pulled files from different portals, created one?off documents, and pasted screenshots into templates. Some submissions lacked address verification (AVS) results, others missed delivery confirmation or customer communication, and deadlines were easy to miss. Similar cases were argued differently depending on who assembled the packet.

Complexity varied by reason code. Fraud claims required authorization data, device and IP details, and 3?D Secure outcomes when available; non?receipt claims hinged on tracking and delivery confirmation; product disputes depended on return and refund policies with communication logs; duplicate charges required clear tie?outs. Gateways used different portals and formats, and OMS identifiers did not always map cleanly to gateway transaction IDs. Finance carried the burden of coordination without a standard way to build, review, and submit evidence.

Why It Was Happening

Root causes were fragmented systems and inconsistent documentation. There was no canonical model tying a gateway charge to the Shopify order, fulfillment record, shipment tracking, and policy artifacts. Evidence lived in siloed tools with different identifiers, so analysts rebuilt context for each case. Templates varied by person, and network?specific guidance was learned by trial and error rather than encoded in a rules layer. Approvals and rationale lived in email, making it difficult to reuse winning arguments or audit the basis for submissions.

Ownership was diffuse. Customer Support held conversations with buyers, Fraud/Risk managed screening tools, Logistics handled carriers and proof of delivery, and Finance submitted disputes. Without a shared pipeline and finance?owned templates, the process depended on individual diligence and tribal knowledge.

The Solution

Intelligex implemented a dispute orchestration pipeline that ingested gateway disputes, joined them to Shopify orders and OMS fulfillments, and automatically compiled reason?code?specific evidence packs. The system pre?filled finance?owned templates with authorization data (AVS/CVV, 3?D Secure outcomes when present), order and refund history, shipment and delivery proof, terms and policies, and customer communications. High?impact or incomplete cases entered a review queue with maker?checker approvals before submission through gateway APIs or portals. Network guidance and best practices were embedded in templates, drawing on resources such as Stripe Disputes, Adyen Disputes, Shopify Chargebacks, and EMV 3?D Secure.

• Integrations: Shopify via the Shopify Admin API; payment gateways (for example, Stripe, Adyen) for charge and dispute data; OMS for fulfillment; carrier tracking via existing 3PL exports; optional helpdesk export for message history; ERP postings unchanged.
• Canonical dispute schema: Standard fields for gateway transaction and dispute IDs, Shopify order, customer and address data, AVS/CVV and 3?D Secure results, item and price details, refund/return status, fulfillment and tracking, delivery evidence, policy links, and reason code category.
• Evidence pack generator: Reason?code?specific packets (fraud, not received, product dispute, duplicate, subscription cancellation) with pre?filled narratives, screenshots, and documents; automatic redaction of sensitive data.
• Templates and rules: Finance?owned templates aligned to network guidance and gateway formats; effective?dated updates; checklists that validate minimum evidence for each category.
• Exception workflow: Review queue for high?impact or incomplete cases; maker?checker approvals with comments and attachments; routed tasks to Logistics or Support for missing tracking or communications.
• Submission and tracking: API submission to gateways where supported or assisted portal submission; deadline tracking, status updates, and outcome logging; re?use of successful arguments for similar cases.
• Dashboards and alerts: Posture by gateway, brand, and reason code; upcoming deadlines; evidence completeness rates; common gaps; outcome trends.
• Audit and retention: Immutable logs of evidence assembled, templates used, approvals, submissions, and outcomes; controlled storage of packets and supporting files.

Implementation

• Discovery: Mapped gateways, dispute flows, and typical reason codes; inventoried Shopify/OMS fields and carrier proof formats; reviewed prior submissions and outcomes; identified deadlines and escalation paths; gathered policy documents and refund/terms pages.
• Design: Defined the canonical dispute schema and identity crosswalks (gateway charge to Shopify order to OMS shipment); authored templates and checklists by reason code; specified approval tiers and routing; designed packet assembly, submission tracking, dashboards, and retention rules.
• Build: Implemented Shopify and gateway collectors; joined OMS and carrier data; developed the evidence pack generator with redaction; configured templates and rule versions; built the review queue and maker?checker approvals; wired submission via APIs where available; assembled dashboards and alerts.
• Testing/QA: Ran in shadow mode: generated draft packets for live disputes while teams continued manual assembly; compared completeness and alignment with network guidance; tuned templates, mappings, and redaction; piloted approvals with Finance, Support, and Logistics.
• Rollout: Enabled automated packet generation for a primary gateway and brand first; retained manual methods as a controlled fallback; expanded to additional gateways and regions as stability improved; enforced mandatory approvals for high?impact disputes after training.
• Training/hand?off: Delivered sessions for Finance, Support, and Logistics on reading packets, filling gaps, and approving submissions; updated SOPs for refunds, cancellations, and communications capture; transferred ownership of templates, rules, and dashboards to Finance Ops under change control.
• Human?in?the?loop review: Established a cadence to review trends by reason code, template effectiveness, and recurring gaps; decisions recorded with rationale and effective dates.

Results

Dispute handling shifted from reactive assembly to a governed flow. Evidence packs were built from the same data the business used daily, tailored to reason codes, and reviewed under clear templates. Deadlines were tracked centrally, similar cases referenced proven narratives, and escalations reached the right teams with specific asks. Finance spent time on edge cases and policy rather than on gathering screenshots.

Outcomes and interactions improved. Gateways received consistent submissions with traceable evidence, and internal stakeholders saw which gaps drove losses. Customer Support and Logistics contributed the right artifacts earlier, and post?dispute audits pulled from a single trail of templates, approvals, and source links. Shopify, gateways, the OMS, and the ERP remained unchanged; the addition was a dispute orchestration layer that standardized documentation and ownership.

What Changed for the Team

• Before: Each analyst built packets by hand from portals and emails. After: Evidence packs were generated automatically from Shopify, gateways, and the OMS.
• Before: Reason?code requirements were interpreted inconsistently. After: Finance?owned templates enforced checklists aligned to network guidance.
• Before: Deadlines and statuses lived in spreadsheets. After: A queue tracked due dates, submissions, outcomes, and owners.
• Before: Missing delivery or comms derailed submissions. After: Routed tasks requested specific proof from Logistics or Support with links.
• Before: Approvals and rationale were in email. After: Maker?checker captured decisions and narratives alongside each packet.
• Before: Knowledge walked with people. After: Winning arguments and packet patterns were reusable across similar cases.

Key Takeaways

• Unify the data first; join gateway charges to Shopify orders and OMS fulfillment before building evidence.
• Encode network guidance; reason?code templates and checklists make submissions consistent.
• Treat disputes as workflow; centralize deadlines, ownership, and approvals.
• Automate the packet; pre?fill narratives and documents, then use reviewers for gaps and edge cases.
• Preserve lineage; log sources, templates, and decisions to improve outcomes and support audits.
• Integrate, don’t replace; layer orchestration around Shopify, gateways, and the OMS.

FAQ

What tools did this integrate with? Dispute data and charge details were pulled from gateways such as Stripe and Adyen, order and refund history came from Shopify via the Shopify Admin API, and fulfillment/tracking was joined from the OMS and existing 3PL exports. Submissions followed gateway processes, and ERP postings remained unchanged.

How did you handle quality control and governance? Templates and rules lived under Finance change control with effective dating. Each packet logged the template version, evidence sources, and maker?checker approvals. Sensitive data was redacted automatically, and all submissions and outcomes were recorded with links back to source artifacts.

How did you roll this out without disruption? The generator ran in shadow mode first, creating draft packets while teams continued manual submissions. Drafts were compared for completeness and alignment to gateway guidance. Rollout began with one gateway and brand, then expanded as stability and confidence grew. Manual assembly remained a controlled fallback during early cycles.

How were evidence packs assembled? The system pre?filled narratives and gathered documents by reason code: authorization data (AVS/CVV, 3?D Secure outcomes), order and refund history, fulfillment and carrier proof, product and policy pages, and customer communications. Missing items triggered tasks to Support or Logistics, and reviewers finalized the packet before submission.

How did you manage reason codes and deadlines? Disputes were classified by network reason code at intake, which drove the template and checklist. Deadlines were tracked centrally with alerts to owners, and status moved from intake through submission and outcome, with all steps logged.

What role did 3?D Secure and fraud tools play? When available, 3?D Secure outcomes and device or risk signals were included in fraud?related disputes to demonstrate authentication or screening. Guidance aligned with EMV 3?D Secure concepts and gateway?specific documentation.

How was cardholder data protected? Packets included only the minimum necessary details. Sensitive fields were redacted automatically, access was role?based, and all views and downloads were logged. The pipeline referenced tokens and metadata from gateways rather than storing raw payment data.