Auto-detect and fix POS-ecom inventory mismatches before lost sales.
Solo retail founders struggle to integrate POS systems with e-commerce without a dev team, leading to inventory discrepancies and lost sales.
StockBridge pulls data from POS (e.g., Lightspeed) and ecom (e.g., BigCommerce), flags discrepancies, and auto-adjusts with founder approval. It learns from your fixes to prevent future issues. Dashboard shows reconciliation history for peace of mind.
Solo retail founders running both physical stores and e-commerce without a development team
AI discrepancy detection with one-click fixes, tailored for Lightspeed-BigCommerce users.
supportive
Connect Lightspeed and BigCommerce APIs.
Daily scan for inventory diffs >5%.
Approve auto-adjustments to POS or ecom.
Timeline of fixes and current status.
Notify via Slack/email on critical mismatches.
Custom rules for auto-fixes.
PDF/CSV of monthly reconciliations.
AI adapts from manual fixes.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| subscribed_plan | text | Yes |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| pos_provider | text | No |
| ecom_provider | text | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| account_id | uuid | No |
| sku | text | No |
| pos_qty | int | No |
| ecom_qty | int | No |
| status | text | No |
| fixed_at | timestamp | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| account_id | uuid | No |
| condition | text | No |
| action | text | No |
Relationships:
/api/accountsSetup account integrations
/api/discrepanciesList open discrepancies
/api/discrepancies/:id/fixApprove fix
/api/scan-nowManual scan
1 account, 100 SKUs
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 150 | 4% | $150 | $1,800 |
| Month 6 | 800 | 7% | $1,400 | $16,800 |
StockBridge spots mismatches and fixes them – saving sales for busy solo retailers.
Run LinkedIn ads targeting 'Lightspeed POS Shopify' users, join BigCommerce Facebook group and offer free audits, email 20 retailers from POS directories with demo videos.
Feeds management
No real-time fixes
Proactive auto-correction
Historical discrepancy data trains AI for better predictions, user-approved rules create stickiness.
2024 POS data explosion with AI readiness for anomaly detection in retail.
False positives in detection
Configurable thresholds + feedback loop
Success: 80% interest
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