AI-Assisted Intake & Listing (AI QuickList)

Where AI QuickList fits (talk track)

Ribbn is an end-to-end resale commerce platform that helps secondhand businesses digitize inventory fast, link each item to the right seller + commission, and run the item lifecycle from intake through sale and payout—across in-store and online channels.

AI QuickList is Ribbn’s AI-assisted intake/listing flow in the mobile app. It turns a few guided photos plus a small set of inputs into a digitized product you can manage in inventory—typically doing “~90% of the work” up front, so publishing online later is lighter.

What it actually does (product-truth bullets)

AI QuickList helps a store:

• Digitize items quickly using guided photos and AI attribute extraction (brand, size, material) with manual fallback.
• Create a product record that can be managed through Ribbn inventory workflow (statuses, QC, listed, etc.).
• Generate listing content (e.g., product details + later a final description when publishing online).
• Suggest a listing price based on market value signals (but requires human review).

Intake & listing workflow (high-level, SDR-safe)

Use this as your mental model on calls—keep it operational and accurate.

1) Items enter the business (two common paths)

1. Seller-first (consignment): Sell Requests

   • Sellers submit items via Sell Requests.
   • Store reviews, can accept/decline, sets resale price, then clicks Confirm Selection to notify the seller.

2. Store-first (store-owned inventory): direct intake

   • Team creates products directly in inventory using AI QuickList / Regular Mode / CSV import.

2) Intake digitization (AI QuickList vs Regular Mode vs CSV)

Ribbn supports three ways to add products.

3) Quality + readiness to sell (lifecycle statuses)

Once the item is digitized, Ribbn uses Status Management (Product Lifecycle) to track where an item is physically and digitally, and what actions happen next.

Admin-driven examples SDRs can reference:

• DRAFT → add/complete details and pricing
• QUALITY_CONTROL → validate condition; remarks are especially important for online readiness
• LISTED → product is ready to go; example publishing behavior can depend on rules/tags (e.g., “Listed + tag availableOnline will publish it online” in supported setups)
• AVAILABLE_IN_STORE → blocks online buy button and marks “Only available in store”

4) Omnichannel execution (in-store + online)

• In-store: Ribbn supports checkout flows via the mobile app and Web POS; Web POS supports scanning (barcode/QR), linking an order to a customer, and taking payment using a Stripe WiFi-based reader in supported setups.
• Online: Many stores use Shopify as the storefront while Ribbn stays the system of record for inventory and product data; products are created/edited in Ribbn and synced to Shopify when ready (Shopify edits don’t sync back).

5) Sale → returns/holding period → payout clarity (high-level)

After sale, Ribbn supports post-sale payout workflow statuses; a return period is typically ~14 days before moving into payout steps. Ribbn can support:

• A manual “seller to be paid” step after the return window, and
• In supported flows, a seller self-pay status to reduce admin work.

What SDRs should say about AI QuickList (accurate talk tracks)

15–20 second talk track

“AI QuickList is Ribbn’s fastest intake flow—your team takes a few guided photos in the app, adds a couple of basics like seller, primary segment, and condition, then Ribbn uses AI to auto-fill attributes and suggest a listing price. The key is you always review and edit before saving, so you stay in control of accuracy.”

What “guided photos” means (so you sound credible)

AI QuickList prompts:

• Front photo
• Brand/logo tag (or manual entry)
• Size tag (or manual entry; “One Size” if none)
• Material/composition tag (optional; can skip)

Discovery questions (intake + listing workflow)

Use these to qualify quickly and set up a strong AE meeting.

Intake volume + operational pain

1. “How many items do you intake per day/week—and what % is one-of-a-kind resale?”
2. “What’s the slowest part today: photographing, writing descriptions, categorizing/sizing, or pricing?”

AI QuickList fit (store-owned vs consignment)

1. “Are you mostly store-owned buyout, consignment (seller payouts), or a mix?”
2. “When a product is consignment, how do you make sure it’s linked to the right seller and commission—and that payouts are clear later?”
3. “Do you usually photograph items at intake, or do you already have high-quality photos you’d want to upload?”

Listing readiness + lifecycle control

1. “Do you have a consistent lifecycle like draft → QC → listed, or does it live in spreadsheets and chat?”
2. “Do you ever need to move large batches at once—like 50 items into QC or listed?” (sets up Bulk Edit value)

Omnichannel + stack alignment

1. “Is Shopify your webshop today? If yes, what’s your source of truth for product data and one-of-a-kind inventory?”
2. “In-store, do you scan items at checkout today (QR/barcode/RFID), or is it mostly manual lookup?”

Trust + payout expectations (without overpromising)

1. “After an item sells, do you hold payout until the return window closes—how long is that window for you?”

First-line objections (SDR-safe responses)

“AI is never accurate for resale items.”

Response: “That’s exactly why Ribbn frames QuickList as AI-assisted, not autopilot. It’s built to get you to a strong first draft fast from photos—then your team reviews and edits before saving. Clear photos improve the auto-fill quality, and you stay in control of the final listing.”

“We’re consignment—does QuickList handle multiple sellers?”

Response: “Ribbn supports seller-linked inventory and commissions end-to-end. One nuance: AI QuickList assumes the store is the seller, so for other people’s inventory you typically use Regular Mode so you can select the correct seller/owner at creation.”

“Will this replace Shopify?”

Response: “Usually Shopify remains the storefront, while Ribbn is the system of record for resale inventory and product data. Teams create and manage products in Ribbn, then sync/publish to Shopify when ready—Shopify edits don’t sync back to Ribbn.”

“We’re worried items will get stuck.”

Response: “Ribbn’s status lifecycle is designed to keep items moving consistently—draft, QC, listed, in-store-only, sold, then payout-related steps. And teams can bulk update statuses to keep operations clean.”

Pricing & packaging guardrails (what you can say)

Share ranges and components, not custom quotes.

Core plans (monthly) + transaction fees (in-store)

Common add-ons you might hear about

• QR codes for checkout: $30 / month (1000 yearly)
• RFID: RFID gun $100 / month (with minimum subscription note) + RFID tags $0.5/tag
• Extra mobile terminal: $80 / month per terminal
• Tradera integration: $100 / month
• Remove backgrounds: $100 / month per 500 images

Quick “how it works” reference (for call prep)

AI QuickList: what the rep should remember

• It’s done in the mobile app from Inventory via the + T-shirt icon.
• It’s best for store-owned items being photographed now; use Regular Mode for other sellers’ inventory.
• AI output is review/edit and may include a suggested listing price.

Status lifecycle: the “3 status” shorthand

• Draft (make the product real) → QC (validate for customer) → Listed / In-store (ready to sell)

When to book the meeting (qualification bar)

Book an AE/SE meeting when you confirm 2+:

• They have meaningful intake volume and digitization is slow or inconsistent.
• They need more control over item readiness (draft/QC/listed discipline) and batch operations.
• They have consignment complexity (seller linkage, commissions, payout transparency, return-window gating).
• They sell in-store + online and need a system of record with Shopify storefront alignment.