Local Shop Social Agent

For

Owners of independent food and retail shops

Solves

Independent shops lose customers to chains that post daily while they have no time to maintain a social presence.

Delivers

Month of scheduled posts, routine customer replies and weekly performance summary

Built in

10 days of creation time, MVP in 2 days

Investment

$5,000 for the MVP, $16,000 for the full product

Run it

Inside your business, or as part of your offer to clients

For owners of independent food and retail shops, turn menus, price lists, product photos and opening hours into a month of on-voice social posts, specific replies and a weekly performance summary.

1. Connect Instagram and Facebook accounts with a one-time authorisation.
2. Pull location, hours, menus and price lists from a shared folder.
3. Generate a month of captions and images from actual products.
4. Reply to common questions using stock and schedule facts.
5. Alert the owner only for unusual questions.
6. Deliver a two-minute voice summary every Sunday.

What goes in, what comes out

The workflow

1. In
   Start with

   Menus, price lists, product photos, opening hours and account access

2. 1

   Connect accounts

3. 2

   Drop in materials

4. 3

   Review the first week of posts

5. 4

   Approve the calendar

6. 5

   Let the agent reply to routine questions

7. 6

   Review alerts

8. 7

   Listen to the weekly summary

9. Out
   Finish with

   Month of scheduled posts, routine customer replies and weekly performance summary

AI does the heavy lifting, people stay in charge

Use multimodal models to read menus and flyers, language models to draft captions and replies, and image generation to create product-specific visuals. A human owner reviews the first week of posts and any flagged unusual replies before they are used. Routine replies use only confirmed facts from supplied documents.

What your team sees

Key screens: Connection setup, content calendar, inbox, weekly summary. Use a setup wizard for account linking and folder upload, a calendar grid for scheduled posts, an inbox for comments and DMs with suggested replies, and a summary dashboard with voice playback. Show pending human review items in a queue. In this product, the first view is connection setup, followed by content calendar, inbox and weekly summary.

Accounts and administration

Shop-level accounts, platform connections, content calendar versions, approval states, reply audit log, alert history and a record of supplied source documents.

Integrations and data access

Instagram and Facebook APIs, shared folder storage, spreadsheet imports for inventory and menus.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   2 days

   One buyer segment, one recurring use case; first modules: content calendar and inbox. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   3 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   5 days

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will owners of independent food and retail shops use it to solve "independent shops lose customers to chains that post daily while they have no time to maintain a social presence"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Run a paid pilot with five bakeries for one month.
4. Measure, then decide. Track two measurable outcomes: number of posts published per shop per week and average response time to customer questions in minutes. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. One buyer: bakery owners in a single city. One use case: daily Instagram posts with generated images from their top ten products and replies to five common DM questions. First two modules: content calendar and inbox. Manual review of all generated posts and replies before publication.

After the MVP. Add voice replies in DMs, second platform support, custom voice training from past posts, and automated weekly summaries with sales correlation.

What the build depends on. Access to Instagram and Facebook Graph APIs, a multimodal model for reading documents, an image generation model and a text-to-speech service for voice summaries.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test pricing at USD 99 per month for core and USD 199 per month for full, anchored below a freelance social media assistant.

Message to test

Your shop's social media, written in your voice, posted daily, while you sleep.

Where to find buyers

Local chambers of commerce, industry Facebook groups, bookkeeping partners and local business meetups.

Lead magnet

A free two-week trial where the agent posts three times and replies to five sample questions using the shop's own menu.

The first 30 days

1. Week 1: Build account connection and folder ingestion.
2. Week 2: Generate first week of posts and replies for five bakery owners.
3. Week 3: Run manual review workflow and collect feedback on voice.
4. Week 4: Deliver weekly summary and refine alert rules.

Paid pilot

Run a paid pilot with five bakeries for one month. Baseline: their current posting frequency and response time. Decision: continue if at least four shops keep the service and report saved time and no customer complaints.

Success metrics

Two measurable outcomes: number of posts published per shop per week and average response time to customer questions in minutes.

Retention and expansion

The agent keeps learning from each shop's products and interactions, and the weekly summary becomes a habit, so shops stay because switching means losing their voice history and calendar.

Why clients would pick it

The voice model improves with every shop's post history and customer interaction, and the inventory and schedule facts become more accurate over time, making the service harder to replicate.

Alternatives and positioning

Shops today use freelancers, scheduling tools or their own sporadic posting. This differs by combining content generation, factual replies and performance summaries in one agent that runs continuously.

Main delivery costs

Main delivery costs are model inference for image generation and replies, plus human review of the first week of posts and flagged alerts.

Shops approve the first week of posts, set reply boundaries, receive alerts for unusual questions, and can pause or delete any scheduled content. The agent must not invent stock levels, prices or opening hours beyond supplied documents.