@nrpsingapore Here’s a little throwback to Singapore’s biggest robotics showcase two weeks ago 🤖 Watch as Bio Girl MJ (@Just Keep Thinking) explores the future, interacts with the latest tech, and discovers how Singapore is leading the way in robotics at RoboSG! 2025. ✨ #robosg2025 #nationalroboticsprogramme #robotics #robots ♬ original sound - nrpsingapore

🌧️🤖 When Longing Meets Logistics

Stefanie Sun’s “E‑Lover” captures the ache of reaching for someone who always feels just out of grasp — a digital‑age longing built on distance, imagination, and emotional gaps — and that same emotional architecture mirrors the delivery crisis described in the article, where booming demand stretches human capacity beyond its limits and the system keeps “missing” the connection it’s supposed to fulfill. Just as the song’s narrator yearns for closeness that never quite arrives, cities like Singapore face a last‑mile reality where human couriers can no longer bridge the distance alone, making automation not just a technological fix but a way to finally close the gap between expectation and delivery.

🎶 🇸🇬 🎮📈🐉🌱➡️ 🐱📬📦🤖🏢🚚 🔊 E-Lover - Stefanie Sun

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Singapore’s delivery sector is booming, but the workforce powering it is shrinking — a mismatch that’s pushing logistics to a breaking point.

For QuikBot Technologies founder Alan Ng, the only viable path forward is automation, because “we simply don’t have enough manpower” to keep up with demand in wealthy, high‑density economiesYahoo Finance.

🚚 The Manpower Shortage No One Can Ignore

Ng points to a structural shortage of delivery workers in cities like Singapore, Japan, and Korea, where rising costs and aging populations make human‑powered logistics increasingly unsustainable. The last mile — the most expensive and time‑consuming segment — remains the biggest bottleneck, with drivers spending up to ten minutes just parking and walking a parcel to a door, a problem that even advanced routing software hasn’t solvedYahoo Finance. This is the heart of the last‑mile inefficiency crisis.

🤖 QuikBot’s Robot‑Locker Ecosystem

QuikBot’s solution is a fully integrated robotic ecosystem combining smart lockers, long‑range robots like the QuikFox, and short‑range units like the QuikCat, all orchestrated by AI to automate building‑level delivery flows. Parcels move from smart lockers to autonomous robots that navigate elevators, corridors, and turnstiles, creating a seamless indoor‑outdoor logistics loop that reduces reliance on human couriers for repetitive tasks. Customers retrieve packages using one‑time passwords, eliminating the need for face‑to‑face handoffs.

🏢 Buildings Become Part of the Robot Network

Ng emphasizes that QuikBot is “not really a robotics company,” but a building‑automation platform that connects robots directly to infrastructure so they can move freely inside complex environments. By integrating with elevators and access systems, QuikBot automates the internal logistics that currently drain time and labor, enabling couriers to drop off multiple parcels at a single hub instead of going door‑to‑door. This shift not only accelerates delivery but also reduces emissions and operational costs for logistics partners.

🌐 Beyond E‑commerce: A Multi‑Industry Play

While e‑commerce is the immediate use case, Ng sees broader applications in aerospace hangars, hospitals, and smart‑city environments where workers waste time walking long distances for tools, parts, or supplies. With expansions underway in Japan and the UAE, and ambitions to tackle medium‑mile delivery using autonomous vehicles, QuikBot is positioning itself as a global automation infrastructure player — with IPO aspirations on the horizon by 2030.

🤝 A Future Built on Autonomous Logistics

QuikBot’s partnership with FedEx, following successful pilots in major Singapore business districts, shows how AI‑enabled robots can cut delivery times by 30% and emissions by 20%. As cities grow denser and labor grows scarcer, Ng’s thesis becomes harder to ignore: the future of logistics won’t be powered by more people — it will be powered by robots that understand buildings.

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