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Solution Database / Sales

Nightshift Storefront Agent

Shop stock sits invisible online because listing, pricing and answering buyers is a second job nobody has time for. The whole shop floor becomes an online storefront from nothing but a phone video, with no manual listing at any point.

SalesOperationsCustomer SupportOperational coordination portal

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Demo screen of Nightshift Storefront Agent
Opportunity7Strong
Problem7High pain
Feasibility9Very manageable
Why now8Strong timing
💰 Investment$6,000 MVP$20,000 for the full product
🛠️ Build effort2/1013 days of creation time, MVP in 3 days
⚙️ Running costs$390–$770/moat about 50 customers
🧠 Right for you?Check your fitTen questions, instant answer

01The offer

For owners of independent boutiques and market stalls, turn a weekly smartphone video walkthrough of stock into live marketplace listings, negotiated sales and morning pick lists. Address the recurring problem: shop stock sits invisible online because listing, pricing and answering buyers is a second job nobody has time for. The value hypothesis is more sales channels with no data entry; the pilot must establish whether that benefit is real.

For
Owners of independent boutiques and market stalls with no online presence
Takes in
A weekly smartphone video walkthrough of the shop floor and stockroom, price floors, margin rules and courier preferences
Delivers
Live marketplace or Shopify listings, handled buyer conversations, closed sales and a daily pick list with prepaid shipping labels
Message
Film your shop once a week and wake up to live listings, handled buyers and a pick list waiting for the morning.
Lead magnet
A free trial: send one video walkthrough and receive five ready-to-approve listings within 24 hours.

02How it works

  1. Identify items from a video walkthrough
  2. Draft listings with measurements and condition notes
  3. Suggest prices the owner can override
  4. Answer buyer questions and send extra photos
  5. Accept or decline offers within margin rules
  6. Generate pick lists and prepaid shipping labels on sale

Workflow

Film a walkthrough, upload the video, review and approve drafted listings, set price floors and margin rules, let the agent handle buyer conversations, approve exceptions, and pack from the morning pick list. Start with a smartphone video walkthrough and finish with live listings, closed sales and a pick list with shipping labels.

AI and people

Use vision models to identify items and extract condition details from video, and language models to write listings and hold multi-turn buyer conversations grounded in a structured stock record so it never sells stock that does not exist. The owner approves each listing and any offer outside set margin rules before it is sent.

Screens

Key screens: Stock intake, listing review, sales inbox. Use a video-derived item grid for stock intake, a listing editor with photos, measurements and price override, and a threaded buyer conversation view with offer rules. Show draft, live and sold states, and a daily pick list with shipping labels. In this product, the first view is stock intake, followed by listing review and sales inbox.

Admin

Owner account with staff access, stock record versions, listing approval states, offer rule settings, message logs, order history and an audit trail of agent decisions.

03Market gap

Alternatives buyers use today

Owners today either list manually on eBay and Shopify in evenings, or pay listing services that still need typed descriptions and someone on message duty. This differs by generating everything from video and running the whole sale through to a pick list.

Where this wins

Every walkthrough improves item recognition and condition detection for that shop's stock, and the accumulated listing, sale and returns history makes pricing and descriptions harder for a newcomer to match.

04Why now

Sales teams are adopting AI for exactly this kind of repeatable work, and the cost of language and vision models has dropped far enough that a narrow, reviewed workflow pays back quickly. The buyer already feels the problem: shop stock sits invisible online because listing, pricing and answering buyers is a second job nobody has time for.

05Proof & signals

Channels where buyers gather: Indoor market trader associations, vintage clothing seller communities on Facebook and Reddit, local trade forums and shopkeeper WhatsApp groups.. Metrics that prove it works: Online orders closed per shop per month, and returns caused by inaccurate descriptions..

Paid pilot

Run one trader for a month against a baseline of zero online sales. Measure listings live, orders closed and returns caused by description errors. Decision: if orders exceed returns losses and the trader renews, expand to three more traders.

06Execution plan

MVP

One indoor market trader, one use case: video to five live eBay listings with the owner approving everything. First two modules are stock intake from video and listing review, with a person manually handling buyer replies and pick lists for the first ten orders.

First 30 days

Week 1: build the WhatsApp video endpoint and item identification pipeline. Week 2: generate and publish the first five approved listings on eBay. Week 3: run ten orders with manual pick and pack to learn edge cases and returns. Week 4: add offer rules and the pick list screen, then sign the first paid trader.

After the pilot

After the paid pilot, automate buyer messaging, offer negotiation within rules, shipping label generation and weekly re-pricing, then add Shopify and more marketplaces.

Retention

The weekly walkthrough becomes routine, the stock record and sale history live in the system, and repricing plus buyer messaging keep earning every month without extra work from the owner.

Integrations

Start with eBay listing APIs and a courier label API, then Shopify, then Stripe for off-marketplace checkout.

07Investment and running costs

PhaseScopeTimeBudget
MVPOne buyer segment, one recurring use case. Manual review in the loop.3 days$6,000
Paid pilotAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.4 days$6,000
Full productSelf-serve onboarding, billing, monitoring and the wider integration set.6 days$8,000
Total$20,000
RunningHostingAI usageTotal a month
MVP and paid pilot (about 3 customers)$30–$60$40–$90$70–$150
Full product (about 50 customers)$110–$210$280–$560$390–$770

Revenue model to test

Hypothesis: 150 USD per month subscription plus 2 USD per order fulfilment fee, no setup charge.

Cost drivers

Vision and language model usage, marketplace and carrier API fees, hosting, and reviewer time for listing quality checks during the pilot.

Safeguards

The agent cannot sell items not in the approved stock record, cannot accept offers below the owner's floor, cannot send messages without a logged decision trail, and must flag suspected damage or missing measurements for human review rather than guess. Owners approve every first listing and can pause the agent at any time.

Take it further

Solution blueprint, rewritten from an earlier Nexibeo concept. Demand, pricing, build scope and integrations are working assumptions, not verified market findings. The MVP and the paid pilot exist to confirm them for your business before the larger build.