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Demystifying Machine Learning in Retail
The document discusses how machine learning is transforming the retail industry through various applications such as inventory management, price adjustment, and customer support chatbots. It highlights specific use cases, including demand forecasting and virtual fitting rooms, and presents Knoldus Inc.'s expertise in leveraging AI technologies for competitive advantage. Additionally, it emphasizes the continuous development and contribution to open source technologies in the field.
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Demystifying Machine Learning in Retail
- 1. How Machine Learningis solving real-life Retail problems? Presented By: Shubham Goyal Data Scientist MachineX by Knoldus Inc.
- 2. 2 Our Agenda 01 Machinelearning in the retail industry 02 Top use cases of machine learning in retail 03 Top superb way AI can revamp the retail industry 04 A case study demonstrating the building of a recommendation engine
- 3. 3 About Knoldus MachineX MachineXis a group of data wizards. We are a team of Data Scientist and engineers with a product mindset who deliver competitive business advantage.
- 4. 4 An Intelligent Meeting Assistant Application RecordVideos View DashBoard
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- 7. 7 Machine learning library inscala KSAI FishEye
- 8. 8 Enable organizations to capturenew value and business capabilities Innovation Labs Consistently blogging, to share our knowledge, research Blogs Deeplearning, Coursera, Stanford certified professionals Certifications Insight & perspective to help you to make right business decisions TOK Sessions It’s great to contribute back to the community. We continuously advance open source technologies to meet demanding business requirements. Open Source Contribution
- 9. Machine Learning inretail
- 12. Superb Ways AICan Revamp the Retail Industry
- 13. 13 Eliminating overstocks and out-of-stocks FishEye AI helpsretailers replenish supplies by identifying demand for a particular product based on ● sales history ● location ● weather ● promotions ● trends ● … and so on.
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- 22. 22 Virtual fitting rooms and mirrors FishEye ●A blend of RFID technology plus augmented reality which act as a virtual fitting room ● the user brings the garment in front of a mirror which scans the garment. ● The mirror after getting the scanned image is stored and overlaid with the image of the user
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- 28. Store Item DemandForecasting
- 29. 29 Forecasting FishEye Forecasting methods andtechniques There are several forecasting methods and techniques, some of which can be used simultaneously. Mainly, though, forecasting can be broken down into four main types: ● Qualitative ● Time series analysis ● Causal ● Simulation
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