Self-serve diagnostics portal that offloads 80% of store support load
Remote workers in retailtech can't scale customer support without local teams, leading to delayed responses and high churn among store owners.
SupportForge builds personalized self-service portals for store owners with AI-driven troubleshooting trees for retailtech issues like POS glitches or inventory syncs. Remote workers push updates centrally, and analytics show resolution trends. This scales support without proportional team growth, minimizing churn from delayed help.
Remote workers in retailtech companies responsible for customer support to store owners
Interactive diagnostic flows that pull live store data for pinpoint fixes, unlike static FAQs.
friendly
Drag-drop to create troubleshooting trees
Query-based issue matcher with store data integration
API/Zapier to pull POS/inventory status
See self-resolve rates per issue/store
Push fixes/templates to all portals instantly
Match your retailtech theme
Store ratings improve AI
Embed step-by-step videos
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| name | text | No |
| url_slug | text | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| portal_id | uuid | No |
| json_structure | text | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| portal_id | uuid | No |
| outcome | text | No |
| created_at | timestamp | No |
Relationships:
/api/portalsCreate portal
/api/trees/:portalIdUpdate tree
/api/diagnose/:portalIdRun diagnostic
/api/analytics/:portalIdSession stats
100 sessions/mo
1k sessions/mo
None
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 25 | 12% | $51 | $612 |
| Month 6 | 200 | 20% | $680 | $8,160 |
AI diagnostics offload routine support, scaling your remote team infinitely.
Scrape retailtech directories for support emails; offer custom portal build for first 3; post in r/retailhell for pain validation.
Knowledge search
No interactive diagnostics
Store-data flows cheaper
Guides
No AI/data
Smart retail focus
Session data refines diagnostics exclusively for retail pain points.
Self-service expectation rise + AI for dynamic guides viable now.
Store API variability
Fallback questionnaires
Store owners ignore portals
Email nudges + embeds
Success: 70% resolve rate
Success: 50% ticket reduction
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