<prompt> Rala chatbot e ikemetseng ho thusa bareki ka lipotso tse amanang le sehlahisoanan  <response>: Instruction in English: Design an automated chatbot to help customers with product related queries . Response in English: Certainly! Here are some key steps that I would recommend to design an automated chatbot to efficiently help customers with product-related queries:1. Define the scope: Firstly, determine which product related queries your chatbot should handle. This could include answering frequently asked questions, explaining product features, troubleshooting issues, and advising on usage or installation.2. Collect information: Next, gather all the necessary information about your products and services that the customers might ask for. This would include product features, documentation, manuals, and troubleshooting guides.3. Use Natural Language Processing: Train your chatbot to understand customer queries effectively using Natural Language Processing NLP and Machine Learning algorithms. This will allow the chatbot to recognize different forms of the same question and respond appropriately.4. Design the conversation flow: Once your chatbot understands what the customer is asking, decide on how the chatbot will respond. Create a conversation flow that guides the customer towards a resolution, and make sure to incorporate a friendly tone and helpful information.5. Integrate with platforms: Make sure to integrate your chatbot with the relevant communication platforms, such as your companys website, mobile app, and social media accounts.6. Monitor and improve: Regularly monitor the chatbots performance, and make improvements based on customer feedback and behavior. Keep updating the chatbots knowledge base to handle new queries and to offer more personalized and relevant responses.In summary, an effective chatbot designed for handling product-related queries would be able to understand and respond to customer questions accurately, engage in a friendly and helpful conversation, and be easily accessible on various communication platforms. . Response in Sesotho: Ka sebele! Mehato e meng ea bohlokoa ke ena eo nka e khothalletsang ho theha chatbot e ikemetseng ho thusa bareki ka lipotso tse amanang le sehlahisoa: 1. Hlalosa boholo: Taba ea pele, etsa qeto ea hore na ke lipotso life tse amanang le sehlahisoa tseo chatbot ea hau e lokelang ho li araba. Sena se ka kenyelletsa ho araba lipotso tse botsoang khafetsa, ho hlalosa likarolo tsa sehlahisoa, mathata a ho rarolla mathata, le ho fana ka likeletso mabapi le tšebeliso kapa ho kenya. 2. Bokella tlhahisoleseding: Ka mora moo, bokella lintlha tsohle tse hlokahalang mabapi le lihlahisoa tsa hau le litšebeletso tseo bareki ba ka li botsang. Sena se tla kenyelletsa likarolo tsa sehlahisoa, litokomane, libuka le litataiso tsa ho rarolla mathata. 3. Sebelisa Tlhaho ea Puo ea Tlhaho: Koetlisa chatbot ea hau ho utloisisa lipotso tsa bareki ka katleho u sebelisa Natural Language Processing NLP le li-algorithms tsa ho Ithuta Mochine. Sena se tla lumella chatbot ho lemoha mefuta e fapaneng ea potso e le ngoe le ho araba ka nepo. 4. Rala phallo ea moqoqo: Hang ha chatbot ea hau e utloisisa seo moreki a se botsang, etsa qeto ea hore na chatbot e tla arabela joang. Theha puisano e tataisang moreki ho fihlela qeto, me u etse bonnete ba hore o kenyelletsa molumo oa botsoalle le lintlha tse thusang. 5. Ikopanye le li-platform: Etsa bonnete ba hore u kopanya chatbot ea hau le liforomo tse amehang tsa puisano, joalo ka sebaka sa marang-rang sa khamphani ea hau, sesebelisoa sa mehala, le liakhaonto tsa litaba tsa sechaba. 6. Ela hloko le ho ntlafatsa: Kamehla beha leihlo tšebetso ea chatbot, me u etse lintlafatso ho latela maikutlo le boitšoaro ba bareki. Tsoela pele ho nchafatsa motheo oa tsebo ea chatbot ho araba lipotso tse ncha le ho fana ka likarabo tse ikhethileng le tse nepahetseng. Ka bokhutšoanyane, chatbot e sebetsang e etselitsoeng ho sebetsana le lipotso tse amanang le sehlahisoa e tla khona ho utloisisa le ho araba lipotso tsa bareki ka nepo, e kene moqoqong oa botsoalle le o thusang, me e fumanehe habonolo mefuteng e fapaneng ea puisano. 