Olicai - A SaaS platform powered by AI designed to help bakeries

The platform enables bakeries to track inventory surpluses and out-of-stock times, manage their product offerings, and leverage AI-driven forecasts integrated with real-time weather predictions to enhance demand forecasting. By streamlining operations and providing actionable insights, the platform helps bakeries minimize waste and maximize efficiency.

Allow users to create accounts or log in using their credentials. This feature ensures that only registered users can access the platform's content. Users will have the ability to securely store and retrieve their information, making their interactions with the platform personalized and tailored to their needs.

Managing account settings allows users to customize their app experience by adjusting key preferences. Users can easily change the app language to suit their needs, update personal information such as their name, email, or contact details, and enhance security by configuring two-factor authentication (2FA) preferences. These settings provide flexibility, ensuring the app is both secure and personalized to individual preferences.

The product catalog management feature allows bakeries to easily organize and update their product offerings. Users can add, edit, or remove items, set prices, and categorize products for efficient inventory tracking. Additionally, the platform integrates sales channel management, enabling bakeries to manage multiple sales channels—such as in-store, online, or third-party platforms—from a single dashboard. This streamlines operations and ensures product availability is consistent across all sales outlets.

The data entry feature enables bakeries to input surplus stock and out-of-stock (OOS) times for each product, providing a clear and accurate view of their inventory levels. This feature allows bakeries to track inventory fluctuations in real-time, helping to identify patterns in overproduction or shortages. With this data, bakeries can make better decisions to optimize stock levels, reducing waste and ensuring that products are always available when needed.

The sales forecasting feature leverages advanced AI algorithms, with data processing handled through an integration with the Azure backend. This allows the platform to analyze historical sales data and predict future demand with high accuracy. Additionally, the feature incorporates real-time weather data through a direct integration with the Visual Crossing API, displaying weather conditions that can impact sales trends. By combining these insights, bakeries can make more informed production decisions, reducing waste and improving efficiency