Operationally Ready for World Cup Surges
Mexican small businesses risk missing out on up to 10 billion pesos in World Cup revenue because they lack the marketing and operational readiness to capture 'maximum proximity' spending from fans and visitors.
SurgeVecino predicts fan traffic to your specific street corner using match schedules and proximity data. It automatically creates inventory orders, staff schedules, and operational checklists so your taco stand or corner shop never runs out of ingredients or gets overwhelmed during big matches.
Owners of small proximity businesses in Mexico (taco stands, fondas, corner shops, and independent restaurants)
Location-specific surge forecasting engine built from past Mexican sporting event data, delivering actionable operational playbooks instead of generic inventory software.
practical
Forecasts foot traffic for every match based on your exact location
Recommends exact quantities of ingredients to order before each surge
Creates optimized shift schedules with extra hands for predicted busy periods
Daily actionable checklist customized to your business type
One-click orders sent via WhatsApp or email to regular suppliers
Alerts 48h and 24h before predicted surges
Recommends temporary price adjustments during high demand
Integrated team communication for shift changes
Compares actual vs predicted performance
Support for businesses near multiple stadiums
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| phone | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| name | text | No |
| address | text | No |
| lat | text | No |
| lng | text | No |
| avg_daily_sales | int | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| business_id | uuid | No |
| match_date | timestamp | No |
| predicted_visitors | int | No |
| confidence | int | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| business_id | uuid | No |
| forecast_id | uuid | Yes |
| items | text | No |
| status | text | No |
| created_at | timestamp | No |
Relationships:
/api/forecastReturns surge predictions for next 30 days
/api/generate-orderCreates recommended inventory order for a specific match
/api/scheduleGenerates staff schedule based on predicted traffic
/api/log-actualsRecords actual traffic and sales for model improvement
One location, 3 matches/month
Up to 2 locations
Unlimited locations
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 95 | 18% | $427 | $5,124 |
| Month 6 | 720 | 24% | $4,320 | $51,840 |
Know exactly how many fans will visit your corner during every World Cup match and prepare inventory and staff automatically.
Run targeted Facebook ads to owners of businesses within 2km of stadiums and fan zones in CDMX and Monterrey offering free premium access for 90 days. Attend local chamber of commerce meetings for small retailers. Partner with major Mexican food distributors (e.g. Bimbo, Coca-Cola routes) who can recommend the tool to their customers.
POS and basic inventory
No event-specific forecasting or proximity intelligence
Built exclusively around large sporting events and Mexican street-level businesses
Restaurant operations
Too heavy and expensive for taco stands and corner shops
Lightweight, mobile-first, and hyper-focused on temporary surges
Growing dataset of actual vs predicted traffic and sales from Mexican proximity businesses during major events, which improves the forecasting model over time.
Mobile internet penetration in Mexico is now high enough for small businesses to use sophisticated tools on their phones. The 2026 World Cup creates a defined deadline that forces businesses to prepare.
Inaccurate traffic predictions
Start with conservative rule-based system and improve with real user data over time
Businesses wait until last minute to prepare
Heavy educational content marketing about early preparation benefits
High churn after World Cup
Build year-round features for local leagues and holidays
Success: At least 20 report significant stress around inventory during big matches
Success: 150 signups and 25% complete detailed business profile
Success: 40% of beta users become paying customers within 30 days
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