Streamline the shopping experience by providing personalized product recommendations, enabling filter-based search based on relevant questions, and answering queries in real-time. This approach ensures convenience, allowing users to make informed decisions with tailored options that meet their needs.
Elobrate on sandwich leave policy
what happened why did I change shift before 6 months?
how is leave encashment calculated in the middle of the year?
I consumed alcohol last Friday at the office is it offence?
what if I resigned before the completion of the notice period?
what are total working hrs?
can I leave the company before office hrs?
what if I don't sign a contract agreement?
when to resign from a company?
where to mention about leaves?
Can I take 12 leaves in one shot?
Can I take 15 days of marriage leaves
Can I carry forward my marriage leaves
how many national holidays will be provided?
what if I don't take any leave for a year?
what are accrual and carry-over leaves?
Dynamic filtering refines fashion recommendations by allowing users to filter products based on specific types, styles, and occasions, such as casual wear or wedding attire. It enables personalized shopping experiences by dynamically adjusting results to match user preferences and contexts. This approach ensures seamless discovery of fashion tailored to individual tastes and needs.
Connect the chatbot to an inventory database for real-time data fetching to display product availability and stock details. It can also sync with external APIs, expanding the catalog options to ensure users have access to a wide variety of items.
Leverage FastAPI to enable efficient and responsive communication between the chatbot and backend systems. This integration ensures quick data retrieval, smooth operations, and a high-performance user experience.
Store user history, including past purchases, to personalize future interactions and recommendations. This feature helps in providing tailored suggestions and enhances the chatbot's ability to build long-term user engagement.
Display the number of available items for each product, helping users quickly identify stock levels while browsing. If a preferred item is unavailable, the chatbot suggests alternative options to ensure a seamless shopping experience. This feature enhances user convenience by providing clear and actionable inventory information.
Offer recommendations across multiple categories, including clothing, footwear, accessories, and fragrances, to help users create a complete outfit. The chatbot seamlessly integrates these suggestions for specific occasions, ensuring a cohesive and stylish look.
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