<prompt> Etsa mokhoa o ikemetseng oa ho fumana mekhoa ea ho reka ha bareki.nan  <response>: Instruction in English: Design an automated system to discover customer buying patterns. . Response in English: To design an automated system to discover customer buying patterns, the following steps can be implemented:1. Data Collection: Collect data on customer purchases, which would include information on the products or services bought, the date and time of the purchase, the purchase amount, and the customers demographic data. This can be done through a point-of-sale system, surveys, or customer feedback forms.2. Data Storage and Management: Store and manage customer data by using a robust database management system. Ensure that the data is properly structured, and that it is stored securely in compliance with data protection laws.3. Data Analysis: - Employ data analysis techniques such as clustering and association rule mining to uncover patterns in customer buying behavior. - Use machine learning algorithms to segment customers into different groups based on their purchasing behavior. - Identify the relationships between different variables, such as age, gender, and income level, and their effect on purchasing behavior.4. Insight Generation: Generate insights from the results of the data analysis, and use these insights to develop business strategies. For instance, if the analysis reveals that a particular demographic group prefers to purchase a specific product, then marketing campaigns can be targeted to this group to increase sales.5. System Automation: Automate the entire process by developing a system that continually gathers and analyzes data, generates insights, and makes recommendations for business strategies. Employ artificial intelligence and machine learning techniques to improve the accuracy of the analysis and the effectiveness of the recommendations.In summary, an automated system for discovering customer buying patterns involves collecting and managing customer data, analyzing the data to uncover patterns, generating insights, and automating the entire process. This will allow businesses to better understand their customers needs and preferences, enabling them to develop more effective marketing strategies and increase sales. . Response in Sesotho: Ho rala sistimi e itirisang ho fumana mekhoa ea ho reka ha bareki, mehato e latelang e ka kengoa tšebetsong: 1. Pokello ea Lintlha: Bokella lintlha tse mabapi le theko ea bareki, e tla kenyelletsa tlhahisoleseling ka lihlahisoa kapa litšebeletso tse rekiloeng, letsatsi le nako ea ho reka. theko, chelete e rekiloeng, le lintlha tsa batho ba bareki. Sena se ka etsoa ka mokhoa oa ho rekisa, lipatlisiso, kapa liforomo tsa maikutlo a bareki. 2. Pokello le Taolo ea Boitsebiso: Boloka le ho laola lintlha tsa bareki ka ho sebelisa tsamaiso e matla ea polokelo ea boitsebiso. Netefatsa hore datha e hlophisitsoe hantle, le hore e bolokoa ka mokhoa o sireletsehileng ho latela melao ea tsireletso ea data. 3. Tlhahlobo ea Lintlha: - Sebelisa mekhoa ea ho hlahloba lintlha tse kang ho kopanya le ho rafa melao ea mokhatlo ho senola mekhoa ea boitšoaro ba ho reka ha bareki. - Sebelisa li-algorithms tsa ho ithuta ka mochini ho arola bareki ka lihlopha tse fapaneng ho latela mokhoa oa bona oa ho reka. - Hlalosa likamano lipakeng tsa mefuta e fapaneng, joalo ka lilemo, bong, le boemo ba chelete, le phello ea tsona boitšoarong ba ho reka. 4. Insight Generation: Hlahisa lintlha tse tsoang liphethong tsa tlhahlobo ea data, me u sebelise lintlha tsena ho theha maano a khoebo. Mohlala, haeba tlhahlobo e senola hore sehlopha se itseng sa batho se khetha ho reka sehlahisoa se itseng, joale matšolo a ho bapatsa a ka lebisoa sehlopheng sena ho eketsa thekiso. 5. System Automation: Iketsetse tsebetso eohle ka ho theha sistimi e lulang e bokella le ho sekaseka data, e hlahisang lintlha, le ho etsa likhothaletso bakeng sa maano a khoebo. Sebelisa bohlale ba maiketsetso le mekhoa ea ho ithuta ka mochini ho ntlafatsa ho nepahala ha tlhahlobo le katleho ea likhothaletso. Ka kakaretso, sistimi e ikemetseng ea ho fumana mekhoa ea ho reka ha bareki e kenyelletsa ho bokella le ho laola lintlha tsa bareki, ho sekaseka datha ho sibolla lipaterone, ho hlahisa lintlha, le ho iketsetsa tsebetso eohle. Sena se tla lumella likhoebo ho utloisisa litlhoko le likhetho tsa bareki ba tsona hamolemo, ho li nolofalletsa ho theha maano a atlehileng a ho bapatsa le ho eketsa thekiso. 