AutoStockAlert

AI-powered alerts prevent stockouts before they happen across dealerships.

Score: 7.5/10ArgentinaMedium BuildReady to Spawn
Brand Colors

The Opportunity

Problem

Enterprise automotive teams lack real-time visibility into inventory across multiple dealerships due to fragmented systems, causing frequent stockouts and lost sales.

Solution

AutoStockAlert uses simple AI rules to monitor inventory trends from multiple sources and predict shortages. It sends proactive alerts via SMS/email/slack with suggested actions. Teams collaborate on resolutions in-app to avoid lost sales.

Target Audience

Enterprise automotive teams managing inventory across multiple dealerships

Differentiator

Predictive alerts based on historical patterns, not just thresholds – tuned for automotive seasonality.

Brand Voice

supportive

Features

Predictive Alerts

must-have25h

AI detects trends and sends early warnings.

Multi-Source Monitor

must-have20h

Pulls data from DMS, spreadsheets, APIs.

Alert Channels

must-have15h

SMS, email, Slack, in-app notifications.

Trend Dashboard

must-have18h

Visuals of inventory trends per item/dealership.

Action Tasks

must-have12h

Assign and track resolution tasks to team.

Custom Rules

nice-to-have10h

User-defined alert thresholds.

Report History

nice-to-have8h

Past alerts and outcomes log.

Integrations Hub

nice-to-have12h

Zapier for custom workflows.

Total Build Time: 120 hours

Database Schema

users

ColumnTypeNullable
iduuidNo
emailtextNo
phonetextYes
created_attimestampNo

Relationships:

  • one-to-many with teams

teams

ColumnTypeNullable
iduuidNo
nametextNo

Relationships:

  • many-to-one with users, one-to-many with sources, one-to-many with alerts

data_sources

ColumnTypeNullable
iduuidNo
team_iduuidNo
typetextNo
configtextNo

Relationships:

  • foreign key to teams.id

alerts

ColumnTypeNullable
iduuidNo
team_iduuidNo
itemtextNo
predicted_shortageboolNo
resolvedboolNo
triggered_attimestampNo

Relationships:

  • foreign key to teams.id

API Endpoints

POST
/api/sources

Add data source

🔒 Auth Required
GET
/api/trends

Fetch trend data

🔒 Auth Required
POST
/api/alerts

Trigger/send alert

🔒 Auth Required
PUT
/api/tasks

Update task status

🔒 Auth Required

Tech Stack

Frontend
Next.js 14 + Tailwind CSS + shadcn/ui
Backend
Next.js API routes
Database
Supabase Postgres
Auth
Supabase Auth
Payments
Stripe
Hosting
Vercel
Additional Tools
Supabase Edge Functions for AI rulesTwilio for SMS

Build Timeline

Week 1: Auth, DB, sources

40h
  • Signup
  • Data source connectors
  • Basic trends

Week 2: AI logic and dashboard

40h
  • Predictive rules
  • Trend visuals

Week 3: Alerts and tasks

40h
  • Multi-channel alerts
  • Task assignment

Week 4: Integrations and launch

35h
  • Slack/Zapier
  • Landing
  • Payments

Week 5: Polish

20h
  • Custom rules
  • History logs
Total Timeline: 5 weeks • 175 hours

Pricing Tiers

Free

$0/mo

10 alerts/mo

  • 1 source
  • Email alerts
  • Basic trends

Pro

$29/mo
  • Unlimited sources
  • SMS/Slack
  • Tasks

Enterprise

$99/mo
  • All Pro + Advanced AI
  • Custom rules
  • Phone support

Revenue Projections

MonthUsersConversionMRRARR
Month 1405%$60$720
Month 625010%$700$8,400

Unit Economics

$35
CAC
$900
LTV
6%
Churn
88%
Margin
LTV:CAC Ratio: 25.7xExcellent!

Landing Page Copy

Predict and Prevent Dealership Stockouts

AI alerts spot issues early, so your teams never miss a sale.

Feature Highlights

Proactive predictions
Multi-channel notifications
Team task resolution
$29/mo Pro plan

Social Proof (Placeholders)

"'Alerts saved our peak season!' – Fleet Manager"
"'Finally ahead of shortages.' – Ops Director"

First Three Customers

Target automotive Reddit (r/askcarsales) and Facebook groups for managers, offer free Pro month for testimonials, DM 30 leads from dealership job postings.

Launch Channels

Product Huntr/EntrepreneurAutomotive ForumsTwitter #DealershipTech

SEO Keywords

automotive stockout preventiondealership inventory alertspredictive auto parts inventory

Competitive Analysis

Dealertrack

dealertrack.com
Enterprise
Strength

Integrated DMS

Weakness

No predictive alerts

Our Advantage

Standalone AI focus, instant value

🏰 Moat Strategy

Improving AI accuracy with user data feedback loops.

⏰ Why Now?

Supply chain volatility makes prediction essential for auto sector.

Risks & Mitigation

technicalmedium severity

Inaccurate predictions eroding trust

Mitigation

Start with rule-based, iterate to ML

executionlow severity

Low adoption of alerts

Mitigation

Free tier onboarding focus

Validation Roadmap

pre-build5 days

Survey 15 managers on pain

Success: 70% want predictive tool

mvp21 days

Beta with 10 users

Success: 50% alert resolution rate

Pivot Options

  • General supply chain alerts
  • Retail demand forecasting

Quick Stats

Build Time
175h
Target MRR (6 mo)
$1,000
Market Size
$3000.0M
Features
8
Database Tables
4
API Endpoints
4