Automated Social Media Generator

For

Marketing managers at independent restaurants

Solves

Staff are too busy serving customers to maintain a consistent social media presence

Delivers

Scheduled social media posts with images and captions

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 marketing managers at independent restaurants, turn sales data and menu images into scheduled social media posts.

1. Connect point of sale systems.
2. Scan daily specials and menu images.
3. Generate image and text variations.
4. Apply brand voice and tone.
5. Schedule posts across platforms.
6. Review and approve drafts

What goes in, what comes out

The workflow

1. In
   Start with

   Sales data, menu images, daily specials photos, brand guidelines

2. 1

   Connect POS and upload menu

3. 2

   AI scans sales and specials

4. 3

   Generate post variations

5. 4

   Review and approve

6. 5

   Schedule for publication

7. Out
   Finish with

   Scheduled social media posts with images and captions

AI does the heavy lifting, people stay in charge

The AI analyzes sales trends to identify popular items and generates captions and images that match the brand voice. A manager must review the content to ensure it feels personal and accurate before publishing

What your team sees

Key screens: Dashboard, Content Studio, Approval Queue. Use a dashboard to view posting schedule and performance. The Content Studio allows uploading menu items and viewing generated drafts. The Approval Queue lets managers review and approve content before publishing. The main screen is the Content Studio where the user inputs menu data and sees the output

Accounts and administration

User roles, approval workflows, audit trails, version history

Integrations and data access

Point of sale systems, social media scheduling APIs

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. 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 marketing managers at independent restaurants use it to solve "staff are too busy serving customers to maintain a consistent social media 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. Compare current posting frequency and engagement against the automated output to prove value
4. Measure, then decide. Track posting frequency increase and engagement rate on new posts. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Ship a tool where a manager uploads a photo and selects a dish. The AI generates five ready-to-post social media items with captions and hashtags. No POS integration yet. Get that in front of three restaurant groups in 30 days

After the MVP. Full POS integration, video generation from chalkboard specials, multi-location management

What the build depends on. Large language models, image generation models, social media APIs

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

$99 per venue per month

Message to test

Automate your restaurant's social media with real-time sales data

Where to find buyers

Restaurant associations, local business directories, hospitality trade shows

Lead magnet

A free demonstration of five ready-to-post posts for one menu item

The first 30 days

1. Week 1: Set up the tool and upload menu data.
2. Week 2: Generate and review first set of posts.
3. Week 3: Gather feedback from three restaurant groups.
4. Week 4: Refine the brand voice and prepare for launch

Paid pilot

Compare current posting frequency and engagement against the automated output to prove value

Success metrics

Posting frequency increase, engagement rate on new posts

Retention and expansion

Monthly subscription renewal based on performance

Why clients would pick it

Custom brand voice tuning and integration with specific POS data structures

Alternatives and positioning

Manual posting by staff, generic design tools like Canva

Main delivery costs

AI compute costs for image and text generation

Brand keyword filters, approval gates, content moderation flags