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    Online Ordering Built to Improve Performance Not Just Process Transactions

    Choose Online Ordering helps independent restaurants increase conversion rates, grow average order value, and systematically reduce abandoned orders using a fast, frictionless ordering flow with full funnel visibility that most platforms simply don't provide.

    Why Most Restaurant Online OrderingPlatforms Underperform

    Invisible Abandonment

    Invisible Abandonment

    No Funnel  Visibility

    No Funnel Visibility

    Discount Dependency

    Discount Dependency

    No Visibility into where Orders Drop Off

    No Visibility into where Orders Drop Off

    Mobile Checkout Friction

    Mobile Checkout Friction

    Ordering as an Optimization System, Not a Static Checkout

    Choose treats online ordering as a performance channel that compounds over time. The ordering flow isn't a set-it-and-forget-it configuration – it's a system that generates data, surfaces insights, and enables continuous improvement. This means every interaction is measured. Every friction point is visible. Every improvement is grounded in evidence. And every week, the system gets a little better at converting visitors into paying customers — without requiring more ad spend.

    For restaurant owners who are used to flying blind on digital ordering performance, this shift in visibility changes everything.

    Full Funnel Order Tracking — The Core Differentiator

    This is the capability that separates Choose from every other online ordering system in the market. Most platforms give you a number: orders completed today. Choose gives you the full story of what happened between a customer landing on your site and either completing or abandoning an order.
    Which items attract attention, which get scrolled past, and which categories customers explore most. This tells you whether your menu layout and item positioning are working.
    Menu views and item interactions
    The gap between items viewed and items added reveals pricing sensitivity, missing descriptions, or poor food photography. A high view-to-cart drop-off means customers are interested but not convinced.
    Add-to-cart events
    How many customers with items in their cart actually begin the checkout process. A drop-off here often signals a minimum order threshold issue or unexpected delivery fee.
    Checkout starts
    Successfully placed orders, with attribution to traffic source, and customer segment.
    Order completions
    Aggregated and trended data showing which steps lose the most customers, how those patterns change over time, and the revenue impact of each drop-off point.
    Drop-off analysis

    Ordering Flow Engineering

    The ordering experience itself is designed with conversion science, not just aesthetics:
    Every unnecessary field, screen, and click has been removed. The flow is optimized for one-thumb mobile navigation because that's how most restaurant customers order.
    Modifier and add-on suggestions appear based on what the customer has already selected. A burger in the cart triggers a drink or side suggestion — not a random dessert. Fully configurable by the restaurant.
    Returning customers see their previous orders and can replicate them in one tap. This reduces decision fatigue and dramatically increases repeat order speed.
    Points balance and earning potential are displayed during checkout, reinforcing the value of completing the order and returning for the next one.
    Loyalty integration at checkout
    Phone verification confirms legitimate customers while deterring fake orders. The flow is designed to feel effortless — a standard industry practice that customers are already comfortable with.

    Restaurants using Choose Online Ordering typically experience:

    Higher conversion rates from existing traffic — without increasing ad spend

    Measurably reduced checkout abandonment through funnel-driven optimization

    Increased average order value through smart, non-aggressive upsells

    Stronger repeat order behavior from reordering ease and loyalty integration

    A compounding improvement cycle: data → insight → fix → better results → repeat

    Real Results from Real Restaurants

    Himalayan Kitchen Mountain View

    Himalayan Kitchen Mountain View

    $180K +
    Annual Online Sales
    Read Case Study
    Saffron Indian Cuisine Cary

    Saffron Indian Cuisine Cary

    $180K+
    Annual Direct Online Sales
    Read Case Study
    Bawarchi Biryanis Cumming

    Bawarchi Biryanis Cumming

    $120K+
    Annual Direct Online Sales
    Read Case Study
    Bawarchi Biryanis Kennesaw

    Bawarchi Biryanis Kennesaw

    $40k+
    Online Sales Within 50 Days of Launch
    Read Case Study
    Snappers Fish & Chicken

    Snappers Fish & Chicken

    $22K+
    Annual Direct Online Sales
    Read Case Study
    Bawarchi Biryanis Atlanta

    Bawarchi Biryanis Atlanta

    $600K+
    Annual Online Sales
    Read Case Study
    Shahi Grill Lawrenceville

    Shahi Grill Lawrenceville

    $48K+
    Annual Direct Online Sales
    Read Case Study
    Saffron Indian Cafe Durham

    Saffron Indian Cafe Durham

    $60K+
    Annual Direct Online Sales
    Read Case Study
    Himalayan Kitchen Mountain View

    Himalayan Kitchen Mountain View

    $180K +
    Annual Online Sales
    Read Case Study
    Saffron Indian Cuisine Cary

    Saffron Indian Cuisine Cary

    $180K+
    Annual Direct Online Sales
    Read Case Study
    Bawarchi Biryanis Cumming

    Bawarchi Biryanis Cumming

    $120K+
    Annual Direct Online Sales
    Read Case Study
    Bawarchi Biryanis Kennesaw

    Bawarchi Biryanis Kennesaw

    $40k+
    Online Sales Within 50 Days of Launch
    Read Case Study
    Snappers Fish & Chicken

    Snappers Fish & Chicken

    $22K+
    Annual Direct Online Sales
    Read Case Study
    Bawarchi Biryanis Atlanta

    Bawarchi Biryanis Atlanta

    $600K+
    Annual Online Sales
    Read Case Study
    Shahi Grill Lawrenceville

    Shahi Grill Lawrenceville

    $48K+
    Annual Direct Online Sales
    Read Case Study
    Saffron Indian Cafe Durham

    Saffron Indian Cafe Durham

    $60K+
    Annual Direct Online Sales
    Read Case Study
    Himalayan Kitchen Mountain View

    Himalayan Kitchen Mountain View

    $180K +
    Annual Online Sales
    Read Case Study
    Saffron Indian Cuisine Cary

    Saffron Indian Cuisine Cary

    $180K+
    Annual Direct Online Sales
    Read Case Study
    Bawarchi Biryanis Cumming

    Bawarchi Biryanis Cumming

    $120K+
    Annual Direct Online Sales
    Read Case Study
    Bawarchi Biryanis Kennesaw

    Bawarchi Biryanis Kennesaw

    $40k+
    Online Sales Within 50 Days of Launch
    Read Case Study
    Snappers Fish & Chicken

    Snappers Fish & Chicken

    $22K+
    Annual Direct Online Sales
    Read Case Study
    Bawarchi Biryanis Atlanta

    Bawarchi Biryanis Atlanta

    $600K+
    Annual Online Sales
    Read Case Study
    Shahi Grill Lawrenceville

    Shahi Grill Lawrenceville

    $48K+
    Annual Direct Online Sales
    Read Case Study
    Saffron Indian Cafe Durham

    Saffron Indian Cafe Durham

    $60K+
    Annual Direct Online Sales
    Read Case Study

    Frequently Asked Questions

    Six distinct stages with segmentation by device type, order type (pickup vs. delivery), and time period. Trends are visible over time.

    Yes. Item-level performance is tracked throughout the funnel, not just at the order level.

    Near real-time. You can check funnel performance during a shift and see current-day trends.

    Yes. You control which items trigger which recommendations. The system doesn't make autonomous decisions about what to suggest.

    If the phone number matches a registered account via OTP, loyalty points are mapped automatically — even on guest orders.

    Yes. Clover, Toast, and Square. Orders push to the POS in real time.

    Built-in middleware and included printer provide operational continuity.

    Yes. Online ordering, funnel tracking, printer, and middleware. All included.

    See Exactly Where Orders Drop Off and How to Fix Them

    Get a live walkthrough using your actual menu and ordering flow.