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

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Please note: All earnings mentioned are illustrative simulations.

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

What you’re building
You’ll launch a done-for-you “Chargeback Evidence Pack Auto-Builder” for ecommerce stores on Shopify. Your Manus AI workflow listens for new disputes from Shopify or Stripe, fetches order and payment details, pulls shipping proof from Shippo or AfterShip, retrieves device/IP logs, grabs policy snippets, and compiles helpdesk transcripts from Gorgias or Zendesk. It assembles a persuasive PDF dossier, then auto-submits the response on Stripe or drafts it for Shopify Payments. You’ll charge $150–$400/month per store or $35–$75 per dispute and land 3–6 stores in 30 days.

Sign up for Manus using this invitation link to follow along: https://manus.im/invitation/OJF7FVBNBC14H?utm_source=invitation&utm_medium=social&utm_campaign=copy_link

Why this works now

  • Average SMB store faces 1–3 chargebacks/month; higher-risk niches see 5–20/month. Recovering one $120 average order can pay for your monthly fee.
  • Merchants hate compiling evidence; it’s slow, error-prone, and time-boxed (7–21 days). Automating saves hours and increases win rates with consistent, complete packets.
  • You can operationalize this in 1–2 days with webhooks + a Manus workflow. Monetization is straightforward with recurring retainers and per-dispute add-ons.

What you need to have ready

The exact Manus workflow (end-to-end)
We’ll use three workflows to keep things modular: Intake, Evidence Builder, and Submission & Updates.

Workflow 1 — Dispute Intake (webhook listener and enrichment)
Goal: Detect a new dispute, normalize data, and trigger evidence building.

1) Trigger: Incoming Webhook (Manus)

2) Connect Shopify and Stripe to this webhook

  • Shopify: Create a custom app and register webhook topic “shopify_payments/disputes/create” (and optionally “…/update”). Set the destination to your Manus webhook URL.
  • Stripe: In Developers > Webhooks, add endpoint with events “charge.dispute.created”, “charge.dispute.closed”. Point it to your Manus webhook URL.

3) Normalize the payload (Parser Node)

  • Add a “Code/Transform” node to:
    • Detect source: event.type starting with “charge.dispute” => Stripe; header X-Shopify-Topic => Shopify.
    • Extract fields into a standard schema:
    • dispute_id
    • order_id (or charge/payment_intent for Stripe)
    • customer email, name, phone
    • billing + shipping addresses
    • order items (title, SKU, quantity, unit price)
    • currency, total paid, payment method (last4 if present)
    • reason (e.g., “fraudulent”, “product_not_received”)
    • due_by date
  • Store this schema in context for downstream nodes.

4) Deduplicate disputes (Key-Value Store)

  • Add a “KV Store” node using “dispute_id” as key. If exists, exit. Else, create key with status “NEW”.

5) Pull enriched data from Shopify or Stripe (HTTP nodes)

  • If Shopify source:
    • Use Admin API to GET /orders/{order_id}.json
    • Capture client_details (browser_ip, user_agent, session_hash), shipping_lines (tracking numbers), and any note_attributes.
    • Fetch customer record to confirm email/phone and prior order history count.
  • If Stripe source:
    • GET /v1/disputes/{dispute_id} with expand[]=charge, expand[]=payment_intent, expand[]=balance_transactions
    • From charge, grab billing/shipping details, outcome data, and any client_ip (if present on tokenization) and user_agent if forwarded via metadata.

6) Fetch shipping/tracking evidence (Shippo or AfterShip)

  • If order has tracking number(s):
    • Shippo: GET /tracks/{carrier}/{tracking_number}
    • AfterShip: GET /trackings/{carrier_slug}/{tracking_number}
  • Store latest status, timestamped scan events, proof-of-delivery indicator, and recipient name captured at delivery.

7) Pull helpdesk transcripts (Gorgias or Zendesk)

  • Gorgias: Search tickets by customer email > GET /api/tickets?search=customer:{email}. For each ticket in the last 120 days, fetch messages to show pre/post-sale communication, delivery confirmations, and any refund offers declined.
  • Zendesk: Use /api/v2/search.json?query=type:ticket requester:{email}. Then GET conversation events for the top 3–5 relevant tickets.

8) Retrieve store policies and ToS

  • Option A: Hardcode canonical policy snippets in Manus KV (returns window, shipping SLA, signature requirements).
  • Option B: HTTP GET the live policy URLs from the store (e.g., /policies/refund-policy, /policies/shipping-policy) and cache them.

9) Optional: Checkout screenshot

  • If the order has a saved checkout URL or confirmation page, call a screenshot API via HTTP Request and store the image. If unavailable, skip.

10) Risk/comparison checks (Transform Node)

  • Compare billing zip vs shipping zip; distance between IP geolocation (from client_details.browser_ip) and shipping city.
  • Flag mismatches for narrative (e.g., same city, matched AVS/CVV result from Stripe, etc.).
  • Summarize: “AVS: Y; CVV: M; IP country matches shipping: Yes; Order history: 3 repeat orders.”

11) Trigger Workflow 2 (Call Workflow Node)

  • Pass the entire evidence payload and normalized schema.

Workflow 2 — Evidence Builder (LLM drafting + PDF assembly + storage)
Goal: Generate a complete, persuasive PDF packet and store it.

1) Input

  • Receives normalized dispute + enrichment (order, payment, shipping, messages, IP logs, policies).

2) Draft the narrative (LLM Node in Manus)

  • System prompt:
    • 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.
  • Provide variables:
    • reason, order summary, delivery status, device/IP match, AVS/CVV, message timeline highlights, prior history, policy clauses.

3) Assemble HTML dossier (Template Node)

  • Build an HTML template with sections:
    • Cover: Merchant name, Dispute ID, Order ID, Total, Reason, Due date.
    • Executive Summary: 6–8 bullet points with timestamps and references.
    • Delivery Proof: Tracking events, POD name/signature, carrier link.
    • Order & Payment: Items, totals, taxes, discounts, payment method (last4 only), AVS/CVV if returned by Stripe.
    • Customer Communications: Selected excerpts from Gorgias/Zendesk with timestamps.
    • Device & IP: browser_ip, user_agent, geolocation match percentage, historical login/order IPs if available via Shopify.
    • Policies & Terms: Short relevant snippets with URLs.
    • Attachments Index: Links/embeds of tracking screenshot, checkout screenshot (if any).

4) Convert to PDF (Document/PDF Node)

  • Use Manus HTML-to-PDF step; ensure:
    • Footer with page numbers and merchant name.
    • Embedded carrier logo and store logo (if provided).
    • Compress images to keep under 5–10 MB (important for Stripe evidence uploads).

5) Store the PDF (Cloud Storage Node)

  • Choose Google Drive (or S3). Create hierarchical path:
    • /Chargebacks/{store-slug}/{YYYY}/{MM}/{dispute_id}.pdf
  • Save metadata JSON alongside the PDF:
    • /Chargebacks/{store-slug}/{YYYY}/{MM}/{dispute_id}.json

6) Return payload

  • Output the Drive URL, file size, and PDF checksum to Workflow 3.

Workflow 3 — Submission & Status Updates (auto-submit or draft + notifications)
Goal: Upload evidence where possible, submit, and notify stakeholders.

1) If Stripe dispute

  • Step A: Upload PDF to Stripe Files API
    • POST /v1/files (multipart/form-data) with purpose=dispute_evidence.
  • Step B: Update Dispute with evidence summary
    • POST /v1/disputes/{dispute_id} with fields like:
    • evidence[product_description]
    • evidence[customer_communication]
    • evidenceshipping_documentation
    • evidencereceipt
  • Step C: Submit
    • POST /v1/disputes/{dispute_id}/submit
  • Capture response and mark KV Store status “SUBMITTED”.

2) If Shopify Payments dispute

  • Option A (fast + no special scopes): Draft only
    • Email the merchant with the PDF and a summarized bullet list to paste into their admin’s dispute form.
    • Add due date reminder nodes (T-7, T-3, T-1) via Scheduler + Email/Slack.
  • Option B (advanced GraphQL Admin API): With correct scopes, call the disputes evidence mutation to attach documents and notes. If you don’t have guaranteed API access, default to Option A to avoid delays.

3) Log to a sheet or database

  • Append a row to “Disputes Log” (Google Sheets or DB) with:
    • store, platform (Shopify/Stripe), dispute_id, amount, reason, due_by, status, pdf_url, submitted_at.

4) Notify stakeholders

  • Slack or email:
    • “New dispute SUBMITTED for {store} – {amount} – due {date}. PDF: {link}. Auto-submitted: Yes/No.”
  • For drafts, include “Action needed” with instructions.

5) Close-the-loop listener (optional)

  • Your Intake workflow already listens to “charge.dispute.closed” (Stripe) or “…/update” (Shopify).
  • On close, update the sheet with outcome WON/LOST and reason_code_outcome.

Minimum viable data mapping (what to include every time)

  • Customer identity: name, email, phone.
  • Addresses: billing vs shipping (match check).
  • Payment signals (AVS/CVV if provided by Stripe).
  • Device/IP: Shopify client_details.browser_ip and user_agent.
  • Order confirmation timestamp and confirmation number.
  • Tracking: Carrier, number, delivered time, recipient.
  • Communications: At least 3–5 message excerpts from Gorgias/Zendesk.
  • Policies: Specific clauses supporting your position (e.g., signature required, reship/refund options).
  • Screenshot(s): Checkout or order status page if available.

Security and privacy checklist

  • Store only the minimum needed PII and encrypt at rest (Drive/Cloud provider).
  • Do not store full PAN or sensitive payment tokens; last4 is sufficient.
  • Use restricted API keys for Stripe and read-only scopes for Shopify, Shippo/AfterShip, Gorgias/Zendesk.
  • Log access to the PDF and rotate keys quarterly.

Testing the workflow in under 60 minutes

  • Stripe test:
    • Use Stripe CLI: stripe trigger charge.dispute.created and point to your Manus webhook. Confirm PDF generated and evidence submitted.
  • Shopify test:
    • Simulate by posting a fixture to your Intake webhook with fields mapping to “shopify_payments/disputes/create.” Check draft PDF and email notification.

Offer packaging and pricing (to reach $500–$2,000 in 30 days)

  • Retainer model (recommended)
    • Starter: $150/month per store – up to 3 disputes, draft-only on Shopify, auto-submit on Stripe.
    • Growth: $250/month per store – up to 6 disputes, evidence auto-building + Slack alerts + deadline reminders.
    • Pro: $400/month per store – up to 12 disputes, auto-submit on Stripe, policy optimization suggestions monthly, win-rate report.
  • Per-dispute add-on
    • $35–$75 per dispute above plan limits.
  • Quick revenue math
    • 3 stores at $200 = $600/month
    • 4 stores at $250 = $1,000/month
    • 5 stores at $300 = $1,500/month
    • 6 stores at $300 + 8 overages at $50 = $2,100/month
  • Setup fee (optional): $99–$199 one-time for API connections and testing.

How to land 3–6 stores in 2 weeks (scripts included)
Target: Owners and CX/ops managers at DTC brands doing 300–3,000 orders/month on Shopify. They likely deal with 1–10 disputes monthly.

1) Cold email script (subject lines and body)

  • Subject A: Your chargebacks on Shopify
  • Subject B: I auto-build dispute packets for Shopify/Stripe — 15 min save per case
  • Body:
    • Hey {Name} — Quick win for {Brand}. I built a workflow that listens to new disputes from Shopify/Stripe, pulls order + tracking + Gorgias/Zendesk transcripts, and assembles a persuasive PDF. On Stripe, it even auto-submits.
    • Stores similar to you 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? I can plug it into a sandbox and prove it live.
    • Best, {You}
    • PS: I can start this week. Here’s the platform I use: Manus (invite link): https://manus.im/invitation/OJF7FVBNBC14H?utm_source=invitation&utm_medium=social&utm_campaign=copy_link

2) LinkedIn DM (short)

  • Hey {Name}, I automate Shopify/Stripe chargeback evidence. It 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-min demo?

3) Upwork pitch (job post reply)

  • I set up a Manus workflow that listens to Shopify or Stripe disputes and auto-builds evidence packs: order data, Shippo/AfterShip tracking, Gorgias/Zendesk transcripts, device/IP, and policies in a single PDF. Retainers start at $150/month; happy to pilot on your next dispute. I can show a working demo on a call.

4) “Land and expand” approach

  • Start with draft-only for Shopify customers (no dev permission risks).
  • After a win, ask for Stripe integration or upsell to Pro for auto-submission + deadline reminders.

Onboarding checklist (30–45 minutes per store)

  • Kickoff form:
    • Shopify Admin API access (private app credentials).
    • Stripe restricted key (read disputes, write evidence).
    • Shippo or AfterShip API key.
    • Gorgias or Zendesk API key with read permissions.
    • Policy URLs (shipping, refund, ToS).
    • Store logo, brand guidelines (PDF header).
    • Slack/email for alerts.
  • Connection call (15 minutes): You share screens, plug keys into Manus secrets, run a test event.
  • Go-live: Activate webhooks, confirm first real dispute triggers the flow.

Evidence writing: what wins cases

  • Timelines matter: Place a clear chronological sequence: order time → fulfillment → carrier scans → delivery → customer contact.
  • Address and IP coherence: Show billing/shipping match and IP country/city match, or justify mismatches (gift order).
  • Signed delivery or recipient confirmation: From Shippo/AfterShip, include POD images or name captured.
  • Policy acceptance: Cite checkboxes or explicit acceptance on checkout (attach checkout snippet/screenshot if you have it).
  • Communication tone: Include customer acknowledgments (“Thanks, I got it”) from Gorgias/Zendesk.
  • Keep it concise: 300–450 words, bullet-point summary, attach docs as exhibits.

SLA and alerts (protect the deadline)

  • Due date capture: The Intake parser stores due_by.
  • Reminders: Schedule notifications at T-7, T-3, T-1 days.
  • Escalation: If auto-submit fails on Stripe, send “ERROR: needs manual review” with the error code and link.

Operational metrics to report monthly

  • Disputes handled, win rate (WON/total closed), average time-to-submit, average packet size.
  • Recovery estimate: WON_amount minus processor fees.
  • Common reason codes and recommended store policy changes (e.g., require signatures > $200).

Troubleshooting quick hits

  • Evidence too large on Stripe: Compress images under 5 MB and split attachments (upload multiple files).
  • No tracking on order: Ask merchant to require tracking for all shipments; otherwise pivot to communications + policy + AVS/CVV.
  • IP missing in Stripe: Use Shopify client_details.browser_ip instead.
  • Multiple carriers: Normalize with AfterShip (auto-detect slug) to simplify tracking pulls.

Template snippets you can paste into Manus

  • Executive summary bullets (Template Node):

    • 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.

  • LLM prompt variables (LLM Node):

    • 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={ts}
    • tracking_timeline={array of events}
    • communications_highlights={3–5 curated quotes with timestamps}
    • policy_snippets={2–3 short clauses}
    • order_summary={items + prices}

Process to launch this as a business in 48 hours
Day 1 (Build)

  • 2–3 hours: Implement the three Manus workflows as above.
  • 1 hour: Test with Stripe CLI and a mock Shopify payload.
  • 30 minutes: Brand the PDF template and create a shared Drive folder.

Day 2 (Sell)

  • 1 hour: Send 30 targeted cold emails to Shopify stores (use builtwith-like lists or your network).
  • 30 minutes: DM 10–15 ops/CX managers on LinkedIn.
  • 30 minutes: Post a “case study” thread with before/after time saved and a sample redacted PDF.
  • 30 minutes: Book 2–4 demos; offer a 14-day trial at $0 setup to close quickly.

Scale tips after the first 5 stores

  • Standardize your Manus project with environment variables per store (API keys, store URL, Drive path).
  • Create a “Disputes Control Panel” Google Sheet with a lightweight Apps Script connector to your Manus webhook for manual triggers/retries.
  • Add a repository of policy snippet templates and evidence phrasing to keep the LLM drafts consistent.

FAQ

  • Is auto-submission allowed on Shopify Payments?
    • Public API access for full dispute submission is limited; default to draft + admin notification unless you’ve configured the appropriate GraphQL scopes. For Stripe, API submission is supported.
  • What if the customer used a different email on checkout than in support?
    • Match using phone, name, and order number. Query Gorgias/Zendesk by multiple fields to collect conversations tied to the customer.
  • How do I avoid false positives on delivery?
    • Require signature for orders over $200, and include that signature image or recipient name from Shippo/AfterShip in the evidence.

Your next step

Mini-implementation checklist (copy/paste)

  • Intake:
    • Webhook created in Manus; URLs registered in Shopify/Stripe
    • Parser normalizes schema; KV dedupe enabled
    • Order/payment enrichment OK
  • Evidence:
    • Shippo/AfterShip tracking pulls; Gorgias/Zendesk messages collected
    • Policies fetched; IP/device logged
    • LLM draft 300–450 words; HTML template compiles; PDF exports <10 MB
  • Submission:
    • Stripe file upload + dispute submit works
    • Shopify draft email with due date reminders
    • Sheet/DB logging and Slack alerts enabled

Concrete numbers to track from month one

  • Disputes/month per store: baseline vs. automated month.
  • Average preparation time per dispute: manual (60–90 min) vs. automated (5–15 min oversight).
  • Win rate improvement: aim for +10–25% depending on niche (due to completeness and clarity).
  • Revenue impact: If each won dispute averages $120 order value, 3 extra wins/month = $360 recovered, covering a $250 plan with profit.

Compliance reminder

  • Always obtain merchant consent to access APIs.
  • Redact PII if you show case studies or sales demos.
  • Keep logs secure and periodically purge raw webhooks older than 90 days.

Final word
Chargebacks are paperwork. Merchants pay for speed, completeness, and deadlines met. Your Manus automation bundles all the proof they already have—just scattered across Shopify, Stripe, Shippo/AfterShip, and Gorgias/Zendesk—into one compelling packet, every time, in minutes.

CTA — Start automating chargeback wins today

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