Shopify Chargeback Evidence Pack Auto-Builder: Close Disputes and Earn $500–$2,000/Month with Manus AI

Disclosure: All earnings, win rate improvements, and time estimates in this article are illustrative simulations based on typical chargeback management service pricing, not verified personal results or guarantees. This post contains a referral link to Manus; if you sign up through it, I may receive a small credit. Tool names like Shopify, Stripe, Shippo, AfterShip, Gorgias, and Zendesk are mentioned because they’re commonly used for this kind of workflow — replace placeholder links with your own affiliate links if you have them.

Every DTC brand on Shopify faces chargebacks. The problem isn’t that merchants lose them — it’s that compiling evidence takes 60–90 minutes per dispute, the deadline is hard (7–21 days depending on the card network), and the packets are often incomplete because the proof is scattered across Shopify, Stripe, the shipping provider, and the helpdesk. With Manus at the center of the workflow, you can build a chargeback evidence auto-builder that listens for new disputes, pulls all the proof automatically, assembles a persuasive PDF, and submits it — in minutes, not hours.

Why This Works Now

Volume: average SMB stores face 1–3 chargebacks/month; higher-risk niches (supplements, electronics, fashion) see 5–20/month — enough for a meaningful recurring service
Time problem: merchants hate compiling evidence; it’s slow, error-prone, and strictly deadline-driven; automating saves hours and increases win rates with consistent, complete packets
Recovery math: recovering one $120 average order can cover a month’s service fee for the merchant — the ROI is immediate and visible
Build-once, run-forever: once templated for a store, each dispute is 5–15 minutes of human oversight versus 60–90 minutes of manual work

What You Deliver

A branded, persuasive PDF evidence dossier containing:

Customer identity and address match analysis
Payment signals (AVS/CVV results from Stripe)
Shipping and tracking timeline with proof-of-delivery
Device/IP match data from Shopify client details
Helpdesk communication excerpts with timestamps
Relevant policy clauses the customer agreed to
Checkout screenshot or order confirmation (when available)
Chronological executive summary with numbered evidence references

On Stripe: auto-submitted via the Disputes API. On Shopify Payments: delivered as a draft with a deadline-reminder sequence for the merchant to submit in their admin.

Pricing

Plan	What’s included	Price
Starter	Up to 3 disputes/month, draft-only on Shopify, auto-submit on Stripe	$150/month per store
Growth	Up to 6 disputes/month, evidence auto-building + Slack alerts + deadline reminders	$250/month per store
Pro	Up to 12 disputes/month, auto-submit on Stripe, policy optimization suggestions, monthly win-rate report	$400/month per store
Per-dispute overage	Above plan limits	$35–$75 each
Setup fee (optional)	API connections, testing, and onboarding	$99–$199 one-time

Revenue Path to $2,000/Month

Store mix	Gross MRR
3 stores × $200/month	$600/month
4 stores × $250/month	$1,000/month
5 stores × $300/month	$1,500/month
6 stores × $300 + 8 overages × $50	$2,200/month

Core Tool Stack

Manus: workflow orchestration, LLM drafting, PDF assembly, storage, and submission
Shopify: order data, customer details, device/IP via client_details API
Stripe: dispute events, payment signals (AVS/CVV), evidence API for auto-submission
Shippo or AfterShip: tracking events, proof-of-delivery, recipient name at delivery
Gorgias or Zendesk: helpdesk transcripts, customer communication timeline
Google Drive: PDF storage, structured archive, dispute log sheet

The Manus Workflow Architecture

Three modular workflows keep the system clean and maintainable.

Workflow 1 — Dispute Intake

Goal: detect a new dispute, normalize data, and trigger evidence building.

Trigger: Incoming Webhook (Manus)
- Register webhook URL in Shopify: topic = "shopify_payments/disputes/create"
- Register webhook URL in Stripe: events = "charge.dispute.created", 
  "charge.dispute.closed"

Parser Node — normalize to standard schema:
  dispute_id
  order_id (or charge/payment_intent for Stripe)
  customer: email, name, phone
  billing_address, shipping_address
  order_items: [title, SKU, quantity, unit_price]
  currency, total_paid, payment_method (last4 only)
  reason: "fraudulent" | "product_not_received" | "subscription_canceled" | etc.
  due_by: date

KV Store deduplication: 
  if dispute_id exists → exit
  else → create key with status "NEW"

Enrichment HTTP calls (after normalization):

Shopify source:
  GET /orders/{order_id}.json
  → client_details (browser_ip, user_agent, session_hash)
  → shipping_lines (tracking numbers)
  → customer record (email, phone, prior order history count)

Stripe source:
  GET /v1/disputes/{id}?expand[]=charge&expand[]=payment_intent
  → billing/shipping details, outcome data, client_ip, user_agent

Shipping/tracking (Shippo or AfterShip):

GET /tracks/{carrier}/{tracking_number}  [Shippo]
GET /trackings/{carrier_slug}/{tracking_number}  [AfterShip]

Store:
  - Latest status
  - Timestamped scan events
  - Proof-of-delivery indicator
  - Recipient name captured at delivery

Helpdesk transcripts (Gorgias or Zendesk):

Gorgias: GET /api/tickets?search=customer:{email}
  → fetch message threads, last 120 days

Zendesk: GET /api/v2/search.json?query=type:ticket requester:{email}
  → fetch top 3-5 relevant ticket conversations

Risk/comparison checks (Transform Node):

Compare billing ZIP vs shipping ZIP
IP geolocation vs shipping city: match or flag mismatch
Summarize: "AVS: Y; CVV: M; IP country matches shipping: Yes; 
Order history: 3 repeat orders; Gift order: No"

Workflow 2 — Evidence Builder

Goal: generate the complete, persuasive PDF and store it.

LLM drafting prompt (paste into Manus):

System:
"You are an expert chargeback analyst. Draft a concise 300–450 word statement 
tailored to the dispute reason with numbered evidence references. Emphasize 
delivery confirmation, buyer contacts, policy acceptance, device/IP consistency, 
and order history. Tone: factual, neutral, confident."

Variables to inject:
  reason={reason}
  avs_cvv={"AVS:Y CVV:M"}
  device_ip={ip} user_agent={ua} ip_geo_match={true/false}
  delivery_status={delivered/pending} delivered_at={timestamp}
  tracking_timeline={array of events}
  communications_highlights={3-5 curated quotes with timestamps}
  policy_snippets={2-3 short clauses}
  order_summary={items + prices}

HTML dossier sections (Template Node):

Cover: merchant name, dispute ID, order ID, total, reason, due date
Executive Summary: 6–8 bullets with timestamps and evidence references
Delivery Proof: tracking events, POD name/signature, carrier link
Order & Payment: items, totals, payment method (last4 only), AVS/CVV
Customer Communications: selected excerpts with timestamps (from Gorgias/Zendesk)
Device & IP: browser_ip, user_agent, geolocation match
Policies & Terms: relevant snippets with URLs
Attachments Index: links/embeds of tracking screenshot, checkout screenshot

PDF conversion and storage:

HTML-to-PDF with:
  - Footer: page numbers + merchant name
  - Embedded carrier logo and store logo
  - Compressed images (target under 5–10 MB for Stripe upload limits)

Storage path in Google Drive:
  /Chargebacks/{store-slug}/{YYYY}/{MM}/{dispute_id}.pdf
  /Chargebacks/{store-slug}/{YYYY}/{MM}/{dispute_id}.json (metadata)

Workflow 3 — Submission and Status Updates

Stripe disputes (auto-submission):

Step A: Upload PDF to Stripe Files API
  POST /v1/files (multipart/form-data) purpose=dispute_evidence

Step B: Update Dispute with evidence
  POST /v1/disputes/{dispute_id}
    evidence[product_description]
    evidence[customer_communication]
    evidence[shipping_documentation] → file_id from Step A
    evidence[receipt] (optional)

Step C: Submit
  POST /v1/disputes/{dispute_id}/submit

Update KV Store status → "SUBMITTED"

Shopify Payments disputes (draft + notification):

Email merchant with:
  - PDF attached
  - Summarized bullet list to paste into dispute form in admin
  - Direct link to dispute in Shopify admin

Deadline reminders (Scheduler nodes):
  T-7 days: "Dispute response due in 7 days"
  T-3 days: "Urgent: response due in 3 days"
  T-1 day: "Final notice: deadline tomorrow"

Logging and notifications:

Disputes Log (Google Sheet row):
  store | platform | dispute_id | amount | reason | due_by | status 
  | pdf_url | submitted_at | outcome (when closed)

Slack/email alert:
  "New dispute SUBMITTED for {store} – {amount} – due {date}. 
  PDF: {link}. Auto-submitted: Yes/No."

Executive Summary Template Snippets (Paste into Manus)

• Payment authorized on {auth_time} with AVS/CVV match. 
  Billing and shipping addresses match ZIP and State.

• Order fulfilled on {fulfill_time}; carrier {carrier} scanned package 
  at {scan_time}.

• Delivered to {recipient_name} at {delivered_time} per carrier logs. 
  GPS/door scan available.

• Customer contacted support on {ticket_time}; acknowledged receipt on 
  {ack_time} (see Exhibit C).

• Store policy (Shipping/Refund) states {policy_clause}; customer agreed 
  at checkout.

• No refund or reship was requested prior to dispute filing; 
  merchant attempted resolution.

What Wins Cases: Evidence Priorities

Chronological timeline: order time → fulfillment → carrier scans → delivery → customer contact — place this as the first section every time
Address and IP coherence: show billing/shipping match and IP country/city match; justify mismatches (e.g., “verified gift order, confirmed by customer in support ticket”)
Signed delivery or recipient confirmation: include POD name or signature from Shippo/AfterShip where available
Policy acceptance: cite checkboxes or checkout confirmation; attach checkout snippet/screenshot if captured
Communication tone: include customer acknowledgments (“Thanks, I got it,” “Package arrived but I expected X”) from Gorgias/Zendesk — these directly undermine “product not received” claims
Conciseness: 300–450 words narrative, bullet-point summary, organized exhibits — overwhelming banks with 50 unstructured pages reduces win rate

Onboarding Checklist (30–45 Minutes Per Store)

Item to collect	Notes
Shopify Admin API credentials (private app)	Read-only scopes: orders, customers, disputes
Stripe restricted API key	Scopes: read disputes, write evidence
Shippo or AfterShip API key	Read-only
Gorgias or Zendesk API key	Read permissions on tickets
Policy URLs	Shipping, refund, ToS pages
Store logo + brand colors	For PDF header
Slack webhook or email for alerts	Where notifications go

Connection call: 15 minutes — share screen, plug keys into Manus secrets, run a test event. Go-live: activate webhooks, confirm first real dispute triggers the flow.

Testing in Under 60 Minutes

Stripe test:

stripe trigger charge.dispute.created
→ point to Manus webhook
→ confirm PDF generated and evidence submitted via Stripe Dashboard

Shopify test:

POST a fixture to Intake webhook with fields 
mapping to "shopify_payments/disputes/create"
→ check draft PDF output and email notification delivery
→ verify deadline reminders scheduled

Security and Privacy Checklist

Store only minimum required PII; encrypt at rest via Drive/cloud provider
Never store full PAN or sensitive payment tokens — last4 digits only
Use restricted API keys for Stripe; read-only scopes for Shopify, Shippo/AfterShip, Gorgias/Zendesk
Log all PDF access and rotate API keys quarterly
Purge raw webhooks older than 90 days
Redact PII before showing case studies or demos
Obtain merchant written consent before accessing any API

SLA and Deadline Protection

Due date stored at intake and enforced via three scheduled reminder nodes (T-7, T-3, T-1)
If Stripe auto-submission fails: immediate “ERROR — needs manual review” alert with error code and dispute link
If tracking is missing: pivot to communications + policy + AVS/CVV evidence; alert merchant to require tracking for future orders above $50

Client Acquisition: Landing 3–6 Stores in 2 Weeks

Target: DTC brand owners and CX/ops managers at Shopify stores doing 300–3,000 orders/month — 1–10 disputes per month is the sweet spot.

Cold email:

Subject: Your chargebacks on Shopify

Hey {Name} — I built a workflow that listens to new disputes from Shopify/Stripe, pulls order data + tracking + Gorgias/Zendesk transcripts, and assembles a persuasive PDF. On Stripe, it even auto-submits. Stores similar to {Brand} save ~60–90 minutes per dispute and recover 1–3 extra cases/month. Plans run $150–$400/month. If I don’t save you 3+ hours in the first 30 days, I waive month two. 10-minute screen-share to show it live? — {You}

LinkedIn DM:

Hey {Name}, I automate Shopify/Stripe chargeback evidence — pulls tracking + helpdesk + device/IP and outputs a ready-to-submit PDF (auto-submits on Stripe). Typical save: 1–1.5 hours/case. Want a 10-minute demo?

“Land and expand” approach: start with draft-only for Shopify customers (lower friction, no GraphQL permission requirements). After your first win, upsell to Stripe integration or the Pro plan with deadline reminders and policy optimization.

Monthly Reporting for Clients

Disputes handled this month vs. last month
Win rate (WON / total closed disputes)
Average time-to-submit (target under 2 hours of automated pipeline time)
Recovery estimate: WON_amount minus processor fees
Top reason codes and recommended store policy adjustments (e.g., “3 disputes filed for orders under $75 from international IPs — consider requiring signature or additional verification above $50 for international orders”)

Troubleshooting Quick Hits

Evidence PDF too large for Stripe: compress images to under 5 MB; split into multiple file uploads if needed
No tracking number on order: pivot to communications + policy + AVS/CVV; recommend merchant enable tracking for all fulfillments going forward
IP missing in Stripe: pull client_details.browser_ip from the Shopify order instead
Customer used different email in support vs. checkout: match via phone number, name, and order number in Gorgias/Zendesk; document the match in the evidence
Multiple carriers on one order: use AfterShip’s auto-detect carrier slug feature to normalize tracking across all carriers into one timeline

48-Hour Launch Plan

Day 1 (Build — 4–5 hours):

2–3 hours: implement the three Manus workflows
1 hour: test with Stripe CLI and a mock Shopify payload
30 minutes: brand the PDF template and create shared Drive folder structure

Day 2 (Sell — 3 hours):

1 hour: send 30 targeted cold emails to Shopify stores
30 minutes: DM 10–15 ops/CX managers on LinkedIn
30 minutes: post a “before/after” thread with time-saved and a redacted sample PDF
30 minutes: book 2–4 demos; offer a 14-day trial at $0 setup to close quickly

Implementation Checklist

Intake:

Webhook created in Manus; URLs registered in Shopify and Stripe
Parser normalizes schema; KV dedupe enabled
Order/payment enrichment calls verified

Evidence:

Shippo/AfterShip tracking pulls returning data
Gorgias/Zendesk messages collected
Policies fetched and cached
IP/device logged from Shopify client_details
LLM draft 300–450 words producing correctly
HTML template compiling; PDF exports under 10 MB

Submission:

Stripe file upload and dispute submit working in test mode
Shopify draft email with due date reminders scheduled
Google Sheet logging and Slack alerts enabled
Outcome capture on dispute close (WON/LOST) triggering sheet update

Key Metrics to Track From Month One

Disputes per month per store: baseline vs. first automated month
Average preparation time: target 5–15 minutes oversight vs. 60–90 minutes manual
Win rate trend: aim for +10–25% improvement from completeness and consistency
Recovery impact: if each won dispute averages $120, 3 extra wins/month = $360 recovered — covers a $250 plan with profit for the merchant

Scale Tips After Your First 5 Stores

Standardize Manus projects with environment variables per store (API keys, store URL, Drive path) — cloning a new client takes 15 minutes
Create a “Disputes Control Panel” Google Sheet with a lightweight Apps Script connector to Manus webhooks for manual triggers and retries
Build a library of policy snippet templates and evidence phrasing per dispute reason code — the LLM drafts improve significantly with more specific context
Track win rates by reason code across your client portfolio; use aggregate insights to improve template language over time

Start Automating Chargeback Wins Today

Chargebacks are paperwork. Merchants pay for speed, completeness, and deadlines met. Your Manus automation bundles all the proof they already have — scattered across Shopify, Stripe, the shipping provider, and the helpdesk — into one compelling packet, every time, in minutes.

Create your Manus account here, build the three workflows above, test with the Stripe CLI, and reach out to five Shopify stores today. Even at $200/month each, three clients put you at $600/month in under two weeks.