On June 27th, a Tesla Model Y set off from the Gigafactory in Austin, USA, drove into the city streets without a driver, remote control, or even a "safety officer", and after 24 kilometers, finally delivered the car "itself" to the doorstep of an ordinary customer. This scene is not from a movie but the world's first truly driverless delivery.
Tesla is redefining the user experience in the product life cycle with the seemingly traditional action of "delivery". From the perspective of the energy storage industry, we should have a clearer understanding of the future development trends from this automation revolution: manufacturing and energy services may be facing a similar "delivery reconfiguration" of automation.
In the traditional sense, product delivery follows a linear process of "leaving the factory - warehousing - logistics - end customer". The automotive industry is basically the same. Although there is a delivery center link, it is still essentially the last link in the traditional supply chain.
This time, Tesla's automated delivery is a platform-based, automated and scene-aware type of delivery. From the moment a vehicle is manufactured, it no longer relies on manual dispatching. This not only reduces delivery costs but also enables user experience to reach the cognitive threshold of "technology as a service" in advance. This scenario is highly futuristic. A novel experience that conforms to the current trend of ai development.
In most current energy storage project delivery scenarios, whether for industrial and commercial users or household users, the delivery process is typically carried out as follows:
Project connection → Design plan → factory delivery → On-site installation → Commissioning and operation → Customer acceptance
On the surface, the delivery process seems complete, but many problems lie dormant after the delivery is completed. The absence of operation and maintenance data, delayed remote response, difficulty in upgrading, and fragmented customer experience. The main reason for this is the lack of design for "intelligent perception" and "scene extension" in the delivery process.
From Tesla's approach, we should realize that true delivery should not stop at the completion of installation, but should extend to the full chain closed loop of "usage activation" + "continuous perception" + "automatic support".
The delivery of energy storage products should not be a turnkey project, but rather the beginning of a system going online. The equipment should not only be installed but also enter the operational state with self-diagnostic capabilities, remote monitoring functions, and automatic upgrade interfaces. The future delivery should be an interactive hair wash with service launch.
Through the scenario of unmanned delivery, the user experience is made to generate a sense of trust and surprise the moment they "receive the product". Energy storage enterprises can also consider whether our systems can make customers feel the value before delivery through digital twin display, remote pre-experience, intelligent interactive demonstration and other means.
The future delivery of energy storage should be quantifiable, assessable and traceable. During the delivery process of Tesla vehicles, sensor data, paths, behavior tags, etc. are fully recorded. Meanwhile, the energy storage system should also have systems such as "deployment process data recording", "battery status initialization logs", and "online safety verification", transforming traditional result delivery into process operation.
For enterprises like Shanghai Huijue that focus on the research and development of energy storage products and system integration, automation should not only exist within the factory but also permeate the front end of customers: equipment should be equipped with capabilities such as remote on-line coding, configuration preloading, and status initialization from the moment it leaves the factory.
In the future, can we build an unmanned delivery system? For instance, after the customer signs the contract, the system automatically generates the deployment code, and the engineer scans the code on site to access it. All device statuses are uniformly bound through the Internet of Things gateway. After going online, it will automatically connect to the cloud platform and start running... This kind of integrated software and hardware full life cycle experience is the new form of intelligent energy services.
Behind Tesla's delivery of driverless vehicles lies a profound transformation: it is not merely a show-off of technology, but an update of the enterprise's service logic. It tells us: User experience no longer begins with usage, but starts from the moment the product is moved.
As a member of the energy storage industry, Huijue may not be able to achieve "unmanned delivery" for the time being, but can we take a deeper look at "delivery"? Look further ahead at "going online"? This might precisely be the most worthy value for us to reflect on from this autonomous driving revolution.
