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    Delivery
    MVP Case Study

    Services by David: Delivery and Errands in One Workflow

    Food delivery, errands, grocery runs, and transport requests organised from order to settlement.

    A Guyana delivery and errand MVP connecting customers, dispatchers, drivers, and administrators, with clear order stages, cost recording, and AI-assisted food suggestions grounded in live menus.

    The business problem

    Delivery requests can become a chain of calls, messages, cash notes, and unclear handoffs.

    • Customers need to know what is available, what an order costs, and where it stands.
    • Dispatchers need one place to price, assign, and follow errand, shopping, and transport jobs.
    • Grocery spending and cash collected by riders must be recorded separately from service earnings.
    • Drivers handling several orders need a practical stop sequence and clear next actions.

    The implemented solution

    One connected workflow, not another isolated tool.

    Alpha Lab Technology built a role-based delivery web app that keeps food orders, errands, grocery purchases, transport quotes, and staff settlements in connected workflows.

    Ordering

    Customers browse restaurants, place orders, and follow progress through defined delivery stages.

    Dispatch board

    Dispatchers quote, assign, and track errands, shopping, and transport requests.

    Driver queue

    Drivers can claim jobs, record purchases, and move work through to delivery.

    Cost and cash records

    Grocery costs, receipts, rider cash, and earnings are recorded without mixing reimbursements into commission.

    Route support

    Active stops can be sequenced, with shared restaurant pickups grouped together.

    AI food concierge

    Customers describe a craving and receive suggestions selected only from open restaurants and available items.

    A practical example, step by step

    1. 01

      Request

      A customer places a food order or requests an errand, grocery run, or transport quote.

    2. 02

      Confirm and assign

      The order is confirmed, priced where needed, and assigned or released to an available driver.

    3. 03

      Fulfil

      The driver picks up, shops, or travels, recording actual purchase costs when required.

    4. 04

      Deliver and settle

      The job is completed, receipts are available, and cash handed in can be checked by staff.

    What the MVP makes possible

    Fewer unclear handoffs

    Each team works from the same order record instead of separate calls and messages.

    Cleaner money records

    Purchase reimbursements, service fees, earnings, and collected cash have separate places in the workflow.

    Practical AI

    AI helps customers decide what to order, while dispatch, pricing, and money decisions remain with the business.

    MVP scope: route sequencing has a stop limit, transport requests can fall back to dispatcher pricing when an address cannot be mapped, and performance results have not yet been measured.

    Measure the improvement next

    These are measures to track with the business, not claimed results. Establish a starting point, then compare real operating data.

    • Time from request to driver assignment
    • Orders or errands requiring manual follow-up
    • Time spent reconciling rider purchases and cash
    • Delivery completion time by service type

    What is slowing your business down?

    Start with a free conversation about the problem. We’ll discuss the workflow worth fixing first.