Delivering More Than Parcels

When Sora Malik started working for SwiftCycle, she expected the job to be simple: collect small packages from shops and offices, then deliver them by bicycle across the city centre. The company had been created to offer a low-emission alternative to vans, and most of its advertising focused on speed. Within a month, however, Sora noticed that the most difficult part of the work was rarely cycling fast. It was managing uncertainty. A receptionist might not know who had ordered a package, a building entrance could be locked, or roadworks might suddenly block the quickest route. Successful couriers, she discovered, were good at solving small problems continuously.

SwiftCycle’s route-planning app suggested the fastest path between stops, but experienced riders did not follow it blindly. They knew that a theoretically shorter street might be crowded at lunchtime or difficult to cross in heavy rain. Sora began adding notes to the company map: “school traffic at 3.15”, “lift often broken”, “quiet entrance behind café”. At first she worried that this information was too informal to be useful. Her manager disagreed. The app already knew distances; what it lacked was the practical knowledge riders gained from repeated journeys.

A bigger change came when the company won a contract to deliver medicine from local pharmacies to housebound residents. These deliveries could not simply be left with a neighbour, and riders had to confirm the identity of the person receiving them. Sora liked the sense of responsibility, but the new work slowed her down. Some clients wanted to chat for a minute because they had seen nobody else that day. The company’s original performance system measured only speed, so riders who spent time helping a confused customer appeared less efficient.

Sora and several colleagues raised the issue at a staff meeting. They were careful not to argue that delivery times no longer mattered. Medicines still had to arrive when expected. Instead, they proposed recording different kinds of delay. Time spent waiting at a closed office entrance should not be treated in exactly the same way as time spent making sure an elderly client understood which package was theirs. Management agreed to test a new system. It did not remove targets, but it gave supervisors more information about what had happened on each route.

The medicine contract also changed how Sora thought about the city. Previously, she had judged streets mainly by whether they were easy to cycle through. Now she noticed apartment buildings with no ramps, pharmacies with narrow entrances and neighbourhoods where older people had few nearby services. None of these observations made her a transport expert, she says, but they showed her that “efficient” routes can look very different depending on who is travelling and why. A five-minute shortcut for a cyclist may be useless to someone using a wheelchair.

SwiftCycle still markets itself as a fast delivery service, and Sora is proud when she completes a difficult route on time. But she no longer thinks speed is the whole story. The company has begun sharing some of its accessibility notes with a local mapping project, and riders now receive basic training in communicating with vulnerable customers. Sora finds this more meaningful than the company’s environmental advertising, although she still supports the original low-emission aim. The job has taught her that transport systems are not only about moving objects efficiently; they also reveal who a city makes movement easy for, and who it does not.

The company has also changed its induction sessions. New riders now practise situations involving inaccessible entrances and confused recipients, so that problem-solving is presented as part of the job from the beginning.