TableStock

AI predicts inventory needs from bookings and POS to stop restaurant waste.

Score: 7.7/10ETHard BuildReady to Spawn
Brand Colors

The Opportunity

Problem

Small restaurant owners endure expensive POS systems that fail to integrate with booking and inventory tools, resulting in operational chaos.

Solution

TableStock uses AI to forecast demand by analyzing bookings and POS history, auto-adjusting inventory orders. It integrates lightly with any POS/booking, suggesting buys and alerting waste risks. Owners cut costs 20-30% with zero manual math.

Target Audience

Small restaurant owners

Differentiator

AI-first forecasting tailored for restaurants, not generic—handles seasonal peaks and no-shows uniquely.

Brand Voice

supportive

Features

AI Demand Forecast

must-have20h

Predicts stock needs 7 days ahead from bookings/POS.

POS Data Import

must-have10h

Daily pulls from CSV/API for sales history.

Booking Integration

must-have12h

Syncs reservations to adjust forecasts.

Purchase Order Generator

must-have8h

Auto-creates supplier orders with one click.

Waste Alerts

must-have10h

Flags overstock risks and expiry dates.

Recipe Costing

nice-to-have7h

Tracks per-dish ingredient costs.

Supplier Directory

nice-to-have6h

Local vendor links and price comps.

Trend Reports

nice-to-have5h

Weekly insights on best-sellers.

Total Build Time: 78 hours

Database Schema

users

ColumnTypeNullable
iduuidNo
emailtextNo
created_attimestampNo

Relationships:

  • one-to-many forecasts

forecasts

ColumnTypeNullable
iduuidNo
user_iduuidNo
datetimestampNo
predicted_demandintNo
ai_confidenceintYes

Relationships:

  • belongs to users

inventory

ColumnTypeNullable
iduuidNo
user_iduuidNo
itemtextNo
current_stockintNo
forecast_neededintYes

Relationships:

  • belongs to users

sales_history

ColumnTypeNullable
iduuidNo
user_iduuidNo
datetimestampNo
revenueintNo
items_soldtextYes

Relationships:

  • belongs to users, used for AI training

API Endpoints

GET
/api/forecast

Generate/update predictions

🔒 Auth Required
POST
/api/data-import

Upload POS CSV/API

🔒 Auth Required
POST
/api/purchase-orders

Create PO from forecast

🔒 Auth Required
GET
/api/alerts

Fetch waste/stock alerts

🔒 Auth Required
GET
/api/reports

Trend analysis

🔒 Auth Required

Tech Stack

Frontend
Next.js 14 + Tailwind + Chart.js
Backend
Next.js + Supabase Functions
Database
Supabase Postgres
Auth
Supabase Auth
Payments
Stripe
Hosting
Vercel
Additional Tools
Vercel AI SDK or OpenAI for forecastsCron for daily runs

Build Timeline

Week 1: Setup and data import

20h
  • Auth
  • CSV upload
  • DB

Week 2: AI forecasting core

28h
  • Basic ML model
  • Forecast API

Week 3: Integrations and UI

22h
  • Booking sync
  • Dashboard charts

Week 4: POs and alerts

18h
  • Order gen
  • Notifications

Week 5: Polish and payments

15h
  • Stripe
  • Testing
  • Landing

Week 6: Accuracy tuning

10h
  • Model improvements

Week 7: Beta

8h
  • User feedback loop
Total Timeline: 7 weeks • 141 hours

Pricing Tiers

Free

$0/mo

1 week ahead, 5 items

  • Basic forecasts
  • Manual imports

Pro

$35/mo

50 items

  • AI forecasts
  • Auto-imports
  • POs

Premium

$69/mo

None

  • All Pro + recipe costing
  • Priority AI
  • Unlimited

Revenue Projections

MonthUsersConversionMRRARR
Month 11204%$168$2,016
Month 670010%$2,450$29,400

Unit Economics

$50
CAC
$360
LTV
6%
Churn
88%
Margin
LTV:CAC Ratio: 7.2xExcellent!

Landing Page Copy

AI Cuts Restaurant Inventory Waste by 25%

Smart forecasts from your POS + bookings. Spend less, waste less—for $35/mo.

Feature Highlights

7-day predictions
Auto PO creation
Waste prevention
Easy POS sync
Cost insights

Social Proof (Placeholders)

"'Halved our overbuys!' - Fresh Eats"
"'AI actually works here.' - Urban Bistro"

First Three Customers

Join restaurant owner Discords/Slack, share waste pain post. Run $100 FB ads to 'restaurant inventory waste' keywords targeting owners. Partner with a local supplier for referrals.

Launch Channels

Product Hunt AIr/restaurantHacker NewsFood industry newsletters

SEO Keywords

restaurant inventory forecastingAI restaurant inventoryPOS inventory predictorreduce restaurant food wastebooking based stock management

Competitive Analysis

MarketMan

marketman.com
$100+/mo
Strength

Supplier integrations

Weakness

No AI, manual forecasts

Our Advantage

AI-powered, cheaper, POS-focused

Crunchtime

crunchtime.com
Enterprise $500+
Strength

Ops suite

Weakness

Too complex for small

Our Advantage

Simple AI for solos

🏰 Moat Strategy

Proprietary AI trained on restaurant data for superior accuracy over time.

⏰ Why Now?

Food inflation at 10%+; AI tools mature for niche forecasting amid labor shortages.

Risks & Mitigation

technicalhigh severity

AI inaccuracy early on

Mitigation

Start simple regression, user feedback loop

financiallow severity

AI compute costs

Mitigation

Cache predictions, optimize calls

Validation Roadmap

pre-build7 days

Validate AI interest with landing page

Success: 20 signups

mvp42 days

3 users track accuracy

Success: >80% forecast match

Pivot Options

  • Pure waste tracker
  • Recipe optimizer
  • Supplier marketplace

Quick Stats

Build Time
141h
Target MRR (6 mo)
$2,500
Market Size
$2000.0M
Features
8
Database Tables
4
API Endpoints
5