Customer Relationship Management
Grow your repeat visits. Xinobi aggregates customer profile data, coordinates outreach campaigns, tracks sales performance, and manages franchise operations.
Unified CRM Database
Construct comprehensive customer directories tracking order frequency, lifetime spend, preferences, and dietary markers.
Automated Campaign Engine
Launch targeted marketing campaigns via WhatsApp, SMS, or Email. Automatically trigger birthday greetings and anniversary coupons.
Loyalty & Cashback Systems
Configure tier-based reward programs. Set points multiplier rules, custom coupons, and referral bonuses to incentivize customer sharing.
Consolidated Multi-Outlet Control
Manage multiple outlets, menus, and franchise agreements from one interface. Track chain performance and compare branch-wise revenues.
AI-Powered Analytics & Dashboards
Leverage predictive models that automatically analyze historical sales data, forecast peak customer demand, detect inventory anomalies, and deliver automated weekly suggestions to optimize food margins.
Omni-Channel Marketing & Data
Features optimized to build your brand and maximize outlet margins.
Menu Engineering
Classify dishes into best-sellers, high-margin stars, and slow-moving items to engineer profitable menus.
Google Reviews Loop
Ask for Google Review shares automatically after highly-rated checkout experiences, growing your search presence.
Staff Productivity
Track order volumes and total ticket revenues handled by individual servers or captains to audit efficiency.
Outlets Price Sync
Push real-time pricing updates or menu modifications across all outlet locations simultaneously from superadmin dashboards.
Finances & P&L Charts
Log operational expenses (rent, utility, gas) alongside sales revenues to monitor real-time profit margins.
Custom Date Filtering
Generate, filter, and export hourly, daily, weekly, or custom range sales reports for audit or tax preparation.
AI Demand Forecasting
Anticipate peak guest traffic and recipe/ingredient requirements up to 7 days in advance using historical sales patterns and seasonal trends.