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Businesses (esp. food vendors) here in Nigeria, face the challenge of over production (due to unpredictable low demand). Also, overstocking often leads to the spoilage of unused food produce. Now, these issues have contributed to food wastage, which isn't in line with SDG 12.

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Suggesting a waste disposal chatbot to optimise disposal cycles, solving problems like carbon emissions from vehicles to and fro disposal routes, ensuring waste pick up is only done when waste is filled up. The chatbot would serve as a liaison between clients and disposal company to smoothen out operations. This also contributes to the SDG 12 goal.

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Using unsupervised machine learning techniques to adjust supply to fluctuations in demand in reducing fashion waste.

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Chatbot for Electric Equipment Sales Company 

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Chatbot for Electric Equipment Sales Company 

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During my work experience, I observed that customer inquiries about products or potential partnerships were often delayed due to a limited number of available agents.

To address this, I am proposing the implementation of a chatbot trained on company data to handle frequently asked questions regarding stock, inventory, and other common customer concerns. This chatbot could also collect key information from customers and relay it to agents, streamlining the support process and allowing agents to focus on more complex tasks. This solution would improve response times, enhance customer experience, and reduce the workload on the support team.

The implementation of this chatbot also aligns with SDG 12: Responsible Consumption and Production by promoting efficient resource use and reducing waste.

It helps streamline communication about stock and inventory, minimizing overproduction and unnecessary inquiries. By automating routine interactions and collecting key customer information, it supports more sustainable business operations through digital efficiency and improved supply chain transparency.

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Suggesting ML to optimise Food waste due to overstocking, high energy used to maintain the stock, poor inventory management.

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Task 1: Research the AI Solution (Chatbots + Forecasting Models)

- Goal: Find real-life use cases, tools, and explain how they work.

- Assigned to: Tobi,⁩ Dolapo, Rushabh, Tanvi

Task 2: Define the AI Application

- Goal: Break down how our solution will work in practical terms – inputs, outputs, flow of logic, and the role of AI.

- Assigned to: ⁨Abdulsami, Olamide, ⁨Deborah⁩, Emmanuel

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Tobi: intro to Chatbots and Prediction models

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Tobi: intro to Chatbots and Prediction models

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Olamide: How the AI works? (Inputs+Flow of Logic+Output)

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Olamide: How the AI works? (Inputs+Flow of Logic+Output)

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AI APPLICATION