Mobile Vendor Scheduling Platform for Demand-Based Stock Planning
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Solution Overview
Problem
Mobile vendors face challenges in effectively advertising their availability, managing stock, and predicting customer demand, leading to wastage of goods, offering lower quality products, decreased revenue, and inefficient resource use due to the lack of a systematic platform for alerting customers to their presence and managing stock.
Innovation Solution
A computer-implemented system and method that allows mobile vendors to populate a multi-access calendar with their proposed presence, receive and adjust based on customer interest, and notify individuals of changes, using processors to manage stock and location adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If mobile vendors carry surplus stock to meet customer demand, then customer demand can be met, but time and resources are wasted in transporting excess stock
Solution Approach 1:
The system performs preliminary actions by collecting customer interest data in advance through the platform before the vendor arrives at the location. This allows vendors to predict demand and carry only the necessary stock, eliminating the need to transport excess stock while ensuring sufficient stock is available to meet actual customer demand.
2Loss of information
If mobile vendors use traditional advertising methods, then customers can be reached, but the process is time consuming and inefficient
Solution Approach 1:
The system introduces an intermediary platform that acts as a mediator between mobile vendors and customers. The platform consolidates vendor information, availability, and location data in one accessible location, eliminating the need for customers to conduct time-consuming internet searches and follow vendors on social media.
3Adaptability or versatility
If mobile vendors operate without a systematic platform, then operational flexibility is maintained, but stock management efficiency decreases leading to wastage
Solution Approach 1:
The system implements feedback mechanisms by collecting and analyzing customer interest data, then providing vendors with actionable insights about predicted demand at specific locations and times. This feedback loop enables vendors to optimize their stock levels based on actual customer interest, reducing wastage while maintaining operational flexibility to adapt to different locations and customer preferences.
Data Source
AI summary
A computer-implemented system and method that enables mobile vendors of goods and/or services to advertise the future location regarding availability of their goods and/or services to consumers, in an effort to generate and/or increase sales of their products and/or services. The present invention finds particular application with respect to mobile vendors such as owners of food vans, pop-up food stores and market stall holders and enables such owners to alert customers regarding their proposed presence at specific geographic locations at particular dates and times.


