Wearable Device One-Touch Grocery Ordering with Predictive Delivery Slots
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Solution Overview
Problem
Existing online shopping systems, particularly on mobile devices with limited screen size and processing power, face challenges in simplifying the ordering process for customers, especially in predicting and selecting delivery slots based on previous preferences, which complicates the reordering and delivery process.
Innovation Solution
A method and system that uses a portable mobile communications device, such as a wearable device, to predict and allocate delivery slots by referencing the customer's previous order history, allowing for one-touch reordering and delivery slot selection using a simplified user interface, which communicates with a central data processing system to identify suitable delivery dates and times based on historical patterns and user behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a customer uses a wearable device with limited screen size and processing power for online ordering, then the device portability and ease of use on the move is improved, but the complexity of the ordering process and delivery slot selection increases
Solution Approach 1:
The system performs preliminary actions by automatically predicting and pre-selecting the delivery slot based on the customer's historical ordering patterns and preferences. When a customer places an order on a wearable device, the system proactively allocates the same delivery day and time slot as previous orders without requiring the customer to manually select these parameters, thereby simplifying the ordering process on mobile devices
Solution Approach 2:
The system enables self-service by using automated algorithms to analyze customer behavior patterns and independently make delivery slot selections. The system serves itself by automatically filling in delivery preferences based on historical data, eliminating the need for customers to navigate complex menus or make manual decisions about delivery timing on their wearable devices
2Measurement precision
If the system requires manual selection of delivery slots and dates, then delivery timing accuracy is improved, but the time required for ordering and customer effort increases
Solution Approach 1:
The system performs preliminary analysis of customer ordering patterns and pre-determines the optimal delivery slot before the customer completes the ordering process. By anticipating the customer's preferred delivery timing based on historical data, the system has the delivery slot ready for automatic allocation, eliminating the time the customer would otherwise spend selecting from multiple options
Solution Approach 2:
The system uses feedback from the customer's historical ordering behavior to continuously refine and improve delivery slot predictions. By analyzing past orders, delivery preferences, and timing patterns, the system learns and adapts to customer preferences, increasing delivery timing accuracy with each interaction while reducing the time required for selection
3Adaptability or versatility
If the system provides multiple delivery slot options for customer selection, then delivery slot flexibility is improved, but the user interface complexity and number of interactions required increases
Solution Approach 1:
The system extracts and separates the delivery slot selection function from the customer's manual tasks. Instead of requiring customers to interact with multiple delivery slot options, the system automatically extracts the relevant information from historical data and performs the selection independently, presenting only the final predicted slot to the customer for confirmation
Solution Approach 2:
The system performs preliminary delivery slot analysis and preparation based on customer history before the ordering process begins. By having the optimal delivery slot pre-calculated and ready, the system eliminates the need for customers to review and select from multiple options during the ordering process, reducing interactions to a simple confirmation or single touch
Data Source
AI summary
A grocery ordering system is disclosed in which a customer can place an order for delivery in a single click or touch. The system can be configured to run on a device with limited screen size such as a watch or a small-screened handheld device. As the screen size of the device may be limited the order can be placed and the delivery time and day allocated in as few screens or menus as possible. A customer can place an order in a single step, as the customer's previous orders and delivery slots are used to allocate an order and delivery time based on a preferred list of goods to order and a likely acceptable delivery slot. The delivery slot is calculated to allow sufficient time for the customer to amend their order on a device with a larger screen size or improved processing power.