Predict shipping delays before they happen and reroute for reliable delivery.
Small e-commerce business owners face expensive and unreliable shipping options that inflate costs and disrupt customer satisfaction.
DelayGuard analyzes real-time carrier data, weather, and historical performance to score shipment reliability and suggest alternatives. It auto-notifies customers of potential delays and provides fallback options. Small e-com owners get peace of mind with 95% on-time predictions.
Small e-commerce business owners shipping products regularly
Predictive ML model trained on anonymized user data for hyper-local delay forecasts, tailored to small shippers.
supportive
Scores shipments 1-100 for on-time probability using ML.
Proposes backup carriers/routes with higher reliability.
Auto-sends delay alerts to end customers.
Tracks carrier performance and your on-time rate.
Pulls orders from e-com platforms for auto-analysis.
Logs actual vs predicted for continuous improvement.
Set thresholds for email/SMS notifications.
Factors in real-time weather data.
Share dashboards with fulfillment team.
Embed predictions in your app.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| phone | text | Yes |
| created_at | timestamp | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| shipment_id | text | No |
| reliability_score | int | No |
| predicted_eta | timestamp | Yes |
| actual_eta | timestamp | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
| avg_reliability | int | No |
| user_overrides | jsonb | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| prediction_id | uuid | No |
| status | text | No |
Relationships:
/api/predict/delayGenerate reliability score for shipment
/api/alternativesGet suggested reroutes
/api/dashboard/reliabilityFetch performance metrics
/api/notifications/sendTrigger customer alerts
/api/orders/syncSync new orders for prediction
No notifications
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 120 | 4% | $168 | $2,016 |
| Month 6 | 1,000 | 7% | $2,450 | $29,400 |
Predict issues, get alternatives, keep customers happy – reliability for small stores.
Share delay horror stories on r/FulfillmentByAmazon and r/ecommerce, offer free month to first 10 responders, follow up with video demo showing their store's sample prediction.
Tracking
No predictions
Proactive delay avoidance
Notifications
Reactive only
Predictive + alternatives
Aggregated delay data from users improves model accuracy, network effect on predictions.
Rising customer expectations for fast delivery amid supply chain volatility.
ML model accuracy
Start rule-based, iterate with user data
Skepticism on predictions
Free trials with proof metrics
Success: 80% say delays cost >10% sales
Success: 30 signups
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