Automation in Retail: AI Based Inventory Management

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The November edition meet-up from the Data science society & PyData meet-ups 2024 is here!

Who is the presenter?

Alexander Efremov is the CEO and founder of AUTEGRY Ltd, as well as Assoc. Prof., Vice Dean of Business Relations at TU Sofia, Faculty of Automatics.

Alexander has has broad experience and background in:

  • oil industry (Gallus Consulting, Ltd.) – design and development of adaptive control systems,
  • satellite communication (RaySat Ltd.) – tracking systems for mobile flat antennas using Kalman theory and multiple model estimators,
  • retail (Retail Analytics Ltd) –  demand modelling, forecasting, price & order strategies optimization for large hypermarket chains,
  • finance and marketing (Experian) – the mathematical algorithms behind the analytical in-house applications for scorecards development, marketing strategy optimization, etc.,
  • AI as a service (A4E Ltd) – automated analytical software, which produces the A4E’s services that support fintech, retail, health insurance, pharmacy and other businesses.

Currently he works at AUTEGRY Ltd. (www.autegry.com) where he leads a team of Postdocs, Ph.D. candidates and other experts in the area of Data Science and supports digital transformation of its clients, providing consultancy and tailor-made automated systems, based on AI.

Also, he is an associate professor at TU – Sofia, where he leads courses on: ML, DM, AI, Advanced BI Systems, Production Automation and other courses from the area of Data Science and Control Systems.

Linked-in: www.linkedin.com/in/aefremov

In this session you will have the chance to learn more about:

1. Introduction to AI-driven automation – How automation transforms retail by optimizing inventory management

2. Demand Modelling and Forecasting

  • ML models for customers demand prediction
  • Sales components: seasonality, trend, remaining component
  • External factors: retailers actions and disturbances

3. Inventory Optimization

  • Constraint optimization for optimal inventory management
  • Parameters: Supply
  • Objective: Profit
  • Constraints: Waste, Stockouts, Turnover, etc.

4. Conclusion

  • AI and future of jobs and roles

Except for the MeetUp, everyone is invited to share what he/she is doing in the field of Data Science – We believe that sharing is caring! Save some time after the presentation for networking and chatting! : )

Data and Time: November 20th, 18:30-21:30 EEST Timezone

Location: FEBA, Bul. Tsarigradsko shose 125, floor 4, hall 420


The event is open and free . Book a ticket to reserve a place and to get the materials afterwards.

Prepare your questions for the speaker and ask in the Q&A part from the event!


Event Partners

This event is organized by Data science society & PyData Sofia

Together we focus on improving the Data Science Community and enriching everyone’s knowledge!

Bookings

Bookings are closed for this event.