ZKSafe: Enhancing Crypto Wallet Usability and Security Through Zero-Knowledge Proof-Based Authentication
Security and cryptocurrency wallet use are still at the center of the issues with blockchain adoption. Seed phrase-based physical wallets…
The floriculture industry faces a major issue due to the extremely perishable characteristics of its products, covering inventory uncertainty due to demand variability across consumers and seasonality. Seasonal fluctuations have the impact of leading to enormous wastage of flowers, monetary loss, and inefficiency in handling stocks. The traditional method of inventory control, which is still in use in small and medium-scale florist enterprises lacks the tools, technologies and prediction capabilities required to take necessary measures to address such issues. As a solution to these constraints, this project introduces Floro-X, a forecasting-based inventory management system for the floriculture industry. Floro-X is a web-based software solution that offers a demand prediction solution to florist managers in order to align inventory levels with real-world consumer demand. Using Facebook Prophet, a well-tested time series forecasting algorithm, the machine learning model is trained from historical sales trends and seasonal patterns for five types of flowers. The prediction algorithm delivers forecast accuracies above 85% for almost all flowers enabling users to make better inventory and sales planning decisions as to avoid overstocking or running out of stock. System features a user-friendly interface accessible via desktop, with fundamental modules of stock management, demand planning, and user profile handling. Florist managers are able to update the inventory details, place future demand forecast orders, and examine previously calculated outcomes, all from a single, user-friendly console. While the initial version of Floro-X runs with fixed data sets which was used for training, future enhancements will involve the integration with Point-of-Sale (POS) systems to enable real-time tracking of sales and retraining of the model based on new sales data in an automated process, inclusion of real-time weather as a forecasting variable, and expanding prediction capability to include more varieties of flowers. Lastly, Floro-X addresses a major issue in the flower supply chain by introducing digital transformation to a traditionally manual and labour-intensive industry, helping florists make smarter, on-time, data driven decisions. At its core, the adoption of Floro-X facilitates a more profitable, robust, and sustainable floral system, a platform for future innovation and growth within the floriculture sector across the globe.
Security and cryptocurrency wallet use are still at the center of the issues with blockchain adoption. Seed phrase-based physical wallets…
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