Demand and capacity planning
Forecast service pressure and vehicle demand from approved operational signals.

Logistics · on-demand moving
Customer, driver and delivery-management applications for coordinating moves and transporting diverse loads.
AI Development opportunities
A current AI layer could help interpret demand, quotes, routes and delivery exceptions while keeping pricing, worker-impact and customer-service decisions understandable and supervised.
Forecast service pressure and vehicle demand from approved operational signals.
Suggest explainable time, distance and capacity ranges while keeping the final price reviewable.
Summarize late, unmatched or changing jobs and route consequential cases to an operator.
Retrieve approved order and policy context, draft responses and preserve human escalation.
Implementation would require precise-location privacy, worker fairness, explainable pricing and dispatch signals, safety review, human approval for consequential decisions, measurable evaluation, monitoring and auditable escalation.
Explore AI Development →01
Project context
Shift is an on-demand moving service connecting consumers and businesses with man-and-van providers in the UK.
OpenGeeksLab joined an existing product to extend functionality and update the design across customer, driver and delivery-management experiences.
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Problem to be solved
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Customer application

Two-factor registration plus editable profile and order information.
Pickup, destination, residential or commercial move type, item details and suitable van selection.
Requested arrival time and fare calculation using time and mileage.
In-app card processing through the payment workflow described in the source.
Route changes, delivery status and vehicle movement displayed on a map.
Pickup notes, editable checkout, real-time messaging, calls and post-delivery ratings.
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Driver application

Two-factor access for delivery crew.
Search, accept and schedule suitable current or future jobs.
Completed-order history and payment tracking.
Working hours plus accepted, collection, transit and completion states.
Telephone and in-app chat when a job needs assistance.
GPS directions, trip combination, route optimization and manager-visible location.
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Delivery manager platform
The administration panel schedules work, tracks delivery progress and manages the operational details behind each move.

Technology and delivery
The PDF says the initial logic used jQuery and that newer components and pages were added with React.js while preserving legacy code.
The four-month delivery used weekly stand-ups and involved two to five specialists at different stages.
Commercial model and outcome
Customer pricing is based on time and distance, with drivers receiving a fixed percentage of the delivery price.
Payment, tracking and feedback workflows increased transparency and convenience. During the COVID-19 outbreak, Shift also introduced a London shopping-delivery service.
Building a logistics product?
We can help shape booking, dispatch and delivery workflows around the people who keep goods moving.
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