Supply chain and pricing

Inventory allocation optimization

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Inventory allocation optimization: A pre-built solution for Dataiku

Learn more about a solution for inventory allocation optimization in complex environments that was jointly developed by Grid Dynamics and Dataiku....

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Probabilistic forecasting for enhanced demand prediction

Gulnara Minasyan

Gulnara Minasyan

October 21, 2024

Two workers oversee operations in a large, organized warehouse

Building resilient supply chains using robust warehouse and transportation management systems

Rohit Tripathi

Rohit Tripathi

August 15, 2024

Woman navigating in-store inventory to represent Demand sensing and forecasting concept

Retail demand forecasting: Use cases in Retail and Manufacturing

Djordje Grozdic

Djordje Grozdic

March 20, 2024

Containers to illustrate supply chain control tower

A guide to supply chain control tower use cases

Ilya Katsov

Ilya Katsov

July 6, 2023

Inventory allocation optimization

Inventory allocation optimization: A pre-built solution for Dataiku

Marko Nikolic

Marko Nikolic

April 4, 2023

Building a Visual Quality Control solution in Google Cloud using Vertex AI

Building a visual quality control solution in Google Cloud using Vertex AI

Oleg Smirnov

Oleg Smirnov

February 14, 2023

Optimization of order and inventory sourcing decisions in supply chains with multiple nodes, carriers, shipment options, and products

Optimization of order and inventory sourcing decisions in supply chains with multiple nodes, carriers, shipment options, and products

Volodymyr Koliadin

Volodymyr Koliadin

February 2, 2023

How explainable AI helped reduce warehouse order picking time by 1/4

How explainable AI helped reduce warehouse order picking time by 1/4

Maksym Kmet

Maksym Kmet

December 20, 2022

Building a Workforce Schedule Optimization solution

Building a workforce schedule optimization solution

Jake Jian

Jake Jian

March 22, 2022

Ship from store and save

Ship from store and save

Artem Kondakov

Artem Kondakov

November 9, 2021

Multi-agent deep reinforcement learning for multi-echelon supply chain optimization

Multi-agent deep reinforcement learning for multi-echelon supply chain optimization

Ilya Katsov

Ilya Katsov

June 10, 2020

Safety stock optimization for Ship-from-Store

Safety stock optimization for ship-from-store

Alex Rodin

Alex Rodin

March 8, 2019

A guide to dynamic pricing algorithms

A guide to dynamic pricing algorithms

Ilya Katsov

Ilya Katsov

March 5, 2019

Retail price modeling for replenishable and seasonal products

Retail price modeling for replenishable and seasonal products

Ilya Katsov

Ilya Katsov

January 30, 2019

Algorithmic pricing, part III: implementation blueprint

Algorithmic pricing, part III: Implementation blueprint

Ilya Katsov

Ilya Katsov

January 8, 2019

Algorithmic pricing, part II: AI and pricing strategy

Algorithmic pricing, part II: AI and pricing strategy

Ilya Katsov

Ilya Katsov

December 18, 2018

Algorithmic pricing, part I: the risks and opportunities

Algorithmic pricing, part I: The risks and opportunities

Ilya Katsov

Ilya Katsov

December 11, 2018

Predictive analytics for promotion and price optimization

Predictive analytics for promotion and price optimization

Ilya Katsov

Ilya Katsov

August 7, 2018

Xgboost vs Catboost vs Lightgbm:
which is best for price prediction?

Xgboost vs Catboost vs Lightgbm: Which is best for price prediction?

Conor McNamara

Conor McNamara

May 1, 2018