DelayGuard

AI detects production delays before they happen via IoT-ERP fusion.

Score: 5.8/10DJMedium Build
Brand Colors

The Opportunity

Problem

Enterprise manufacturing teams suffer inaccurate production forecasts and delays due to outdated ERP systems failing to integrate with modern IoT sensors.

Solution

DelayGuard uses AI to analyze IoT sensor streams alongside ERP data, predicting delays hours in advance. Teams receive actionable alerts with root causes like machine wear. Reduces downtime by proactively rescheduling shifts.

Target Audience

Enterprise manufacturing teams managing large-scale production operations

Differentiator

AI-first anomaly detection tailored for manufacturing delays, not generic monitoring.

Brand Voice

supportive

Features

AI Anomaly Scanner

must-have35h

ML models flag unusual IoT patterns synced to ERP schedules.

Root Cause Reports

must-have20h

Breakdown of delay triggers (e.g., temp spikes, stock low).

Predictive Alerts

must-have25h

Push notifications 2-24h before delays.

ERP Data Pull

must-have20h

Auto-sync production schedules and inventory.

IoT Stream Processor

must-have25h

Handle high-volume sensor data in real-time.

Delay History Log

nice-to-have10h

Track past incidents and accuracy.

Custom ML Training

nice-to-have15h

Fine-tune models on your factory data.

Slack/Teams Integration

nice-to-have10h

Post alerts to channels.

Voice Alerts

future20h

Phone calls for critical issues.

Total Build Time: 180 hours

Database Schema

users

ColumnTypeNullable
iduuidNo
emailtextNo
org_iduuidNo

Relationships:

  • belongs to organizations

organizations

ColumnTypeNullable
iduuidNo
nametextNo
tiertextNo

Relationships:

  • has many users, alerts

alerts

ColumnTypeNullable
iduuidNo
org_iduuidNo
timestamptimestampNo
typetextNo
severityintNo
resolvedboolNo

Relationships:

  • belongs to organizations

iot_streams

ColumnTypeNullable
iduuidNo
org_iduuidNo
datajsonbNo
processedtimestampYes

Relationships:

  • belongs to organizations

predictions

ColumnTypeNullable
iduuidNo
org_iduuidNo
confidenceintNo
detailsjsonbNo

Relationships:

  • belongs to organizations

API Endpoints

GET
/api/alerts

List org alerts

🔒 Auth Required
POST
/api/iot/webhook

Receive sensor data

GET
/api/predictions

Fetch AI predictions

🔒 Auth Required
POST
/api/orgs/setup

Initial ERP/IoT config

🔒 Auth Required

Tech Stack

Frontend
Next.js 14 + Tailwind + shadcn/ui
Backend
Next.js + Supabase Functions
Database
Supabase Postgres
Auth
Supabase Auth
Payments
Stripe
Hosting
Vercel
Additional Tools
Vercel AI SDK for MLSupabase Vector for embeddings

Build Timeline

Week 1: Auth and schema

35h
  • DB setup
  • User flows

Week 2: Data ingestion

45h
  • IoT webhooks
  • ERP sync

Week 3: AI core

55h
  • Anomaly detection
  • Alerts

Week 4: UI and reports

45h
  • Dashboard
  • Root causes

Week 5: Integrations and test

30h
  • Payments
  • Beta launch

Week 6: Polish

20h
  • Nice-to-haves
  • Deploy
Total Timeline: 6 weeks • 230 hours

Pricing Tiers

Free

$0/mo

1k streams/day

  • Basic AI scans
  • 5 alerts/mo

Pro

$15/mo

50k streams/day

  • Unlimited alerts
  • Root causes

Enterprise

$99/mo

Unlimited

  • Custom AI
  • All Pro + SLAs

Revenue Projections

MonthUsersConversionMRRARR
Month 1801%$15$180
Month 67002.5%$262$3,144

Unit Economics

$45
CAC
$550
LTV
6%
Churn
82%
Margin
LTV:CAC Ratio: 12.2xExcellent!

Landing Page Copy

Catch Delays Before They Cost You

AI-powered IoT + ERP insights prevent downtime automatically.

Feature Highlights

Hours-ahead predictions
Root cause analysis
Zero-config setup
Proven 30% less delays

Social Proof (Placeholders)

"'Saved us $50k in one month' - Plant Supervisor"
"'Alerts are spot-on' - Ops Director"

First Three Customers

Post in manufacturing forums like Reddit r/LeanManufacturing offering free AI audits. Target IoT users via Twitter searches. Secure pilots with 1-month free Pro.

Launch Channels

Product Huntr/SupplyChainIndie HackersTwitter #manufacturing

SEO Keywords

manufacturing delay detectionAI production anomalyIoT delay predictorfactory predictive alerts

Competitive Analysis

Enterprise custom
Strength

Advanced AI

Weakness

Heavy implementation

Our Advantage

Plug-and-play for $15

🏰 Moat Strategy

ML models improve with proprietary delay datasets from users.

⏰ Why Now?

AI edge compute now viable for factory IoT volumes.

Risks & Mitigation

technicalhigh severity

ML false positives

Mitigation

Tunable thresholds + user feedback loop

marketmedium severity

Skepticism on AI accuracy

Mitigation

Free trials with benchmarks

Validation Roadmap

pre-build5 days

Survey 15 managers on delay pains

Success: 70% want AI alerts

mvp21 days

Closed beta 3 factories

Success: 90% alert accuracy

Pivot Options

  • Generic IoT monitoring
  • Maintenance focus
  • Supply chain only

Quick Stats

Build Time
230h
Target MRR (6 mo)
$4,000
Market Size
$4000.0M
Features
9
Database Tables
5
API Endpoints
4