Heavy Logistics Booking App

. Overview We are expanding our app’s logistics offerings to include heavy transportation (trucks) for users who need to transport goods, furniture, equipment, or bulk items. This service will allow users to: * Select the type of truck (based on size/volume) * Define pickup and drop-off locations * Optionally add helpers (labor support) * Choose between instant booking or scheduled service * Pay via existing payment methods (cash or online) Vendors (truck drivers/partners) will receive the order in their courier/driver app and complete the delivery. Pricing will be calculated dynamically based on truck type + distance, configured via our dashboard. --- 2. Problem Statement Currently, our app focuses on food and light parcel logistics. However, we are missing an opportunity in the heavy logistics market where customers require trucks for larger deliveries. Competitors provide this service, creating a gap in our offering. --- 3. Objectives & Goals * Enable heavy logistics service through the app. * Provide flexibility in truck size selection. * Allow real-time and scheduled bookings. * Ensure pricing flexibility through the dashboard (distance, truck type, helpers). * Streamline vendor assignment and payment settlements (leveraging existing system). --- 4. Key Features Functional (App – User Side) 1. Service Selection * User selects “Trucks / Heavy Transportation” from services menu. 2. Truck Type Selection * Show a list of available truck types (small, medium, large, container, etc.). * Each truck type includes capacity details, dimensions, and pricing factors. 3. Pickup & Drop-off Locations * User enters pickup location. * User enters drop-off location. 4. Helper Option (Optional Add-on) * User can add 1 or more helpers for additional cost. 5. Pricing Mechanism * Pricing = Base fare (truck type) + Distance rate + Helper fee. * Pricing logic configurable from dashboard. 6. Scheduling Option * User can choose Service Now or Schedule Later (date & time). 7. Payment * Support existing payment methods: Cash or Online. 8. Confirmation * Once confirmed, order is dispatched to nearest available vendor. --- Functional (App – Vendor Side) 1. Order Notification * Vendor receives order request in courier app with truck type, pickup, drop-off, helper info. 2. Acceptance & Fulfillment * Vendor accepts → navigates to pickup → completes drop-off. 3. Payment Handling * If cash: vendor collects from user. * If online: already paid. 4. Settlement * Payment settlement follows current system. --- Dashboard Enhancements (Operations/Admin Side) 1. Truck Management * Add/edit/delete truck categories with attributes (capacity, size, base fare). 2. Pricing Configuration * Ability to set distance-based pricing rules. * Add helper pricing configuration. 3. Order Management * View/manage truck orders in real-time. * Monitor active, scheduled, and completed bookings. 4. Vendor Management * Assign/approve truck vendors. * View vendor performance and settlement reports. 5. Analytics & Reports * Usage stats by truck type, revenue reports, helper utilization. --- 5. User Flow Customer App Flow: * Open app → Select “Trucks” → Choose truck type → Enter pickup/drop-off → Add helper (optional) → View pricing → Choose Now/Schedule → Select payment → Confirm → Order dispatched. Vendor App Flow: * Receive order → Accept → Navigate → Pickup → Drop-off → Collect payment (if cash) → Mark complete. Dashboard Flow (Ops/Admin): * Configure trucks & pricing → Monitor orders → Manage vendors → Review settlements. --- 6. User Stories * As a user, I want to select the right truck size for my needs so that I only pay for what I require. * As a user, I want to add a helper so I don’t have to arrange labor separately. * As a user, I want the flexibility to schedule truck service later for planned moves. * As a vendor, I want clear pickup and drop-off info to fulfill orders efficiently. * As operations, I want to configure truck types, pricing, and helpers dynamically. --- 7. Success Metrics * Number of bookings for Trucks service. * Search-to-booking conversion rate. * Avg. revenue per truck order vs. standard orders. * Vendor acceptance rate. * Customer satisfaction (post-order ratings)

Project ID: 39738028