Kids Toys Sales Management System using Chatbot Test phase, srs, design phase and source code final deliverable

Kids Toys Sales Management System using Chatbot Test phase, srs, design phase and source code final deliverable

Abstract/ Preface
Chatbot operations streamline relations between people and services, enhancing client experience part in B2C ( Business to Client)E-Commerce operations by furnishing backing to guests in copping the online products. Chatbots employs the Natural Language Processing combined with some flavor of Artificial Intelligence inE-Commerce surroundings.
The core end of this design is to design a web- grounded Kiddies Toys Sales Management System using Chatbot. The druggies ( guests) of this system will be suitable to place order for the wide range of toys for their kiddies’ choice. Chatbot will help the guests in opting the toys and will recommend the suitable toys as per the age of their kiddies. It also recommends toys on the base of parents’ conditions ( budget and toys characteristics/ specifications) and demands. The operation aims to give effective business terrain to the parents.
Functional Conditions
Kiddies’Toys Sales Management System using Chabot is an illustration of B2CE-commerce sphere. It facilitates the terrain for parents to elect the toys as per their choice. Chabot will give client support by showing list of toys like (automated/semi-automated) and adaptive guidance to specific guests.
The proposed system will have the following main druggies
Admin, Deals Director, Distributors, Guests.
1. Registration module It’ll grease the enrollment process for all kinds of druggies. Admin will authorize and perform activation of the different stoner’s accounts and enrollment requests.
2. Login Module After successful enrollments, all types of the druggies will be suitable to login to the system using their registered dispatch and word.
3. Pop up window should be displayed at the bottom right of the system by egging the client for any kind of guidance related to toys selection.
4. Client will go for Toys selection module where the chatbot will help the guests to elect the kiddies’toys as per client requirements.
5. Geographical area allocation module Admin will assign the different areas to distributors across Pakistan. Different deals director will work under specific distributor for easy distribution of kiddies’toys in different areas of Pakistan as per the demands. Guests will be suitable to see the different deals director in Google chart to assess the fast and easy payload of toys to the client.
6. Discussion Flow module in chatbot is responsible to ask the question from druggies related to kiddies’toys, that will suggest the most suitable type of kiddies toy as per client demand. To make discussion inflow smooth and effective, it’s important to apply the stylish practices for developing chatbot. For this supervised Machine literacy and deep literacy algorithms be used, while taking into account of business objects and client’ prospects.
7. After the discussion inflow is completed, search result module will epitomize retailing of kiddies’toys, recommendations can help the guests to find specific toy specifications as per the age of the sprat. After selection It’ll show the list of toys both automated and homemade toys as per client demands. A conversational interface will allow the system to ask probing questions and understand the guests’ intent better.
8. Search result module will display the list of kiddies toys like imported/ original, price affiliated characteristics and specification in case of electronic toy.
9. Reduction module will be actuated in case the client may be looking for reduction. In case client falls into one of the given orders like ( army officers, preceptors).
10. Chatbot will assess the client geste and suggest the kiddies toys according to his budget and demands
11. Supervised Machine literacy module for Chatbot should formerly be “ tutored/ trained” common questions so that it’ll be suitable to answer client questions related to specific kiddies toys and respond incontinently to client’ queries.
12. Once the client has named the needed kiddies’toy, the payment module should be actuated; chatbot should duly guide the client of different payment options. The system will grease the three payment options as per the stoner choice i.e., credit card, disbenefit card and through cash on delivery.
13. The proposed system should have client care module. It should guide the client about the toys’ guarantee in case of malfunctions for specific time period. Toys guarantee will fall under two orders like electronic toys and homemade toys.
14. Client care module should guide the client about the guarantee for specific time period of different corridor of electronic toys.
15. For successful mortal-suchlike commerce, visual module is also used in chatbot for perfect tone and shoptalk. To achieve consonance, a character is used to effectively communicate in audio synced with the textbook to help out the client for specific kiddies’toys.
16. There should be Constantly Asked Questions module to induce a chatbot’s list of preprogrammed queries and responses.
Tools JSP, SQL garçon 2012, PHP, Python, Dialogflow, IBM Watson, Microsoft Bot Framework,
.Wit.ai,Api.ai, Chatfuel.

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