Obviousness

Obviousness Analysis of US Patent 10445684 under 35 U.S.C. § 103

This section analyzes the obviousness of US Patent 10445684 by identifying combinations of prior art references that would render the claims obvious to a person having ordinary skill in the art (PHOSITA). The motivation to combine these references will also be explained.

A PHOSITA in the field of actively managed food delivery would likely have a background in logistics, supply chain management, computer science, and sensor technology, particularly as it applies to perishable goods. They would be familiar with systems for monitoring environmental conditions, real-time data analysis, and automated control mechanisms within a delivery context.

Combination 1: US20150088779A1 in view of general knowledge in logistics and sensor technology

Reference 1: US20150088779A1 (Food Delivery Service)
This patent application describes an "intelligent processor-based platform" for managing food delivery, particularly for luncheon services. It emphasizes real-time data, efficient management, and providing "Just-in-Time order status information to customers and ongoing Just-in-Time operating and cooking instructions to the food truck operator." The system can assess demand volume in real-time to control food truck deployment. While it doesn't explicitly detail environmental controls within individual product containers or dynamic preferred ranges, it clearly establishes the concept of a centralized, intelligent system using real-time data for active management in food delivery.

Motivation for Combination:
A PHOSITA, aware of the perishability of food products, would readily understand the need to maintain optimal conditions during transport. Given US20150088779A1's focus on "Just-in-Time" delivery and efficient management of food, it would be obvious to incorporate sensor technology to monitor the actual conditions of the food. The patent itself highlights the need to "efficiently manage the business" and provides "ongoing Just-in-Time operating and cooking instructions to the food truck operator," which suggests an awareness of quality control.

The addition of sensors to product containers to monitor conditions like temperature and humidity is a well-known practice in logistics for perishable goods. Furthermore, integrating these sensors with a centralized intelligent platform, as described in US20150088779A1, would be an obvious step to enable the system to not only track orders but also actively manage the environmental conditions affecting the products. The motivation would be to enhance the quality and safety of delivered food, reduce waste, and extend delivery times, all of which are common goals in food delivery and logistics.

Once conditions are monitored, it would be a straightforward engineering task to define preferred ranges for those conditions based on the specific food product (a "product profile"). The concept of dynamic ranges, where preferred conditions change over time (e.g., a hot meal gradually cooling, but staying within safe limits), would be an obvious refinement to account for the natural degradation or desired state changes of perishable items. This would directly build upon the "real-time data" and "active management" principles of US20150088779A1 to ensure quality throughout the extended delivery process. Finally, using the centralized system to send commands to environmental control units (e.g., heaters, coolers) within the containers in response to out-of-range conditions would be an obvious automation of corrective actions, moving beyond mere "instructions" to drivers, thereby further improving efficiency and product integrity.

This combination would render obvious the core elements of Claim 1, Claim 7, and Claim 12 of US10445684, which focus on receiving status information, determining preferred ranges that change over time based on a product profile, determining if conditions are within ranges, and sending commands to environmental control units.

Combination 2: US20150262121A1 in view of US20150088779A1 and general knowledge of food freshness and logistics

Reference 1: US20150262121A1 (Order delivery system and method)
This patent application focuses on tracking and managing order delivery, aiming for a "data-rich, easy to use and more efficient Delivery Management System." It describes a system that uses "multiple delivery vehicles" and "multiple customers" and allows a dispatcher to "efficiently assign delivery vehicles and drivers to bring the prepared food to customers." It also mentions a "Customer order receiver" and an "Order information manager." While this patent focuses on the logistics of order fulfillment, it also emphasizes the need for an "intelligent Delivery Management System" and acknowledges the real-time interdependency between customers and operators.

Motivation for Combination:
Building upon the active management of delivery environments established in Combination 1, a PHOSITA would recognize the critical need to optimize delivery routes and schedules, particularly for perishable food. US20150262121A1 provides a robust framework for an "intelligent Delivery Management System" focused on efficiency in assigning deliveries and managing orders.

Combining the environmental monitoring and control from Combination 1 with the advanced delivery management of US20150262121A1 would be highly motivated. The "food product history" (e.g., preparation time, freshness) discussed in US10445684 (Claim 14) is directly relevant to optimizing delivery given the perishable nature of the goods. Knowing the actual condition and remaining "shelf life" of individual food items (obtained from the environmental monitoring) would naturally lead to prioritizing deliveries. For instance, the stated motivation in US10445684 to "deliver food that is fresh and within quality parameters, but with the longest time since preparation first" would be an obvious strategy for maximizing food availability and minimizing waste, leveraging both real-time condition data and historical information.

Therefore, a PHOSITA would be motivated to integrate the "food product history" and condition evaluation (as enabled by sensors and environmental control) into the "prioritized delivery scheme" of US20150262121A1. This integration would allow the system to dynamically adjust delivery priorities based on actual food freshness and safety, not just delivery location. The ultimate goal of such a combination would be to ensure that food is delivered while it is still safe and desirable, and to extend the overall time window for delivery, directly addressing the aims of US10445684. The ability to "send a command to not deliver certain food products" if they are unsafe or undesirable (as in Claim 14 of US10445684) is a logical extension of ensuring quality and safety in an actively managed delivery system. This combination would render obvious the elements of Claim 14, particularly those related to using food product history for prioritized delivery schemes and preventing delivery of unsafe products.

Combination 3: US20150088779A1 + US20150262121A1 + general knowledge of mobile device integration and cloud computing

Reference 1: US20150088779A1 (Food Delivery Service)
As discussed, this reference provides an intelligent processor-based platform for managing food delivery with real-time data.

Reference 2: US20150262121A1 (Order delivery system and method)
This reference describes a data-rich, efficient Delivery Management System for tracking and managing order delivery.

Motivation for Combination:
The detailed description of US10445684 explicitly mentions that a delivery container can include a wireless tag (e.g., Bluetooth) and a microcontroller to connect wirelessly to one or more peripherals, which may include mobile phones. It further states that data from the container can be "pushed by the peripherals 120 to a network Network 1 and/or Network 3, e.g., which may provide a Cloud service." This is described as a "management system cloud application."

It would be obvious to a PHOSITA, at the time of invention, to integrate mobile devices and cloud computing into the delivery management systems described in US20150088779A1 and US20150262121A1. Mobile phones were already widely used by delivery personnel for navigation, communication, and order management. Cloud computing was also a recognized technology for centralizing data and processing, offering scalability and real-time access to information across distributed systems. The concept of using a mobile device as a communication bridge between sensors on a delivery container and a cloud-based management system would be a straightforward application of existing technologies. This allows for real-time monitoring and control without requiring complex, dedicated hardware in every delivery vehicle.

The integration of mobile devices and cloud infrastructure would provide the necessary communication backbone for the "centralized location" to receive "real-time analytic software application" data from each product container, as mentioned in US10445684. This further enables the sending of commands to drivers' mobile devices or directly to environmental control units, as described in US10445684. The use of mobile devices to add local timestamps and GPS location information to sensor data before pushing it to the cloud is also a common and obvious practice to provide richer contextual data for analysis and decision-making in a logistics system. This combination addresses the implementation details and communication architecture implicit in Claims 1, 7, 12, and 14 regarding how status information is received and commands are sent in a networked environment.