Operational management

Transform your supply chain and manufacturing operations using cloud, IoT,
data, and AI.

We help operations, technology, and analytics executives improve supply chains and manufacturing processes using Industry 4.0 capabilities:

  • Collect sensor data from equipment and vehicles at scale
  • Automatically detect anomalies and predict failures
  • Quantify long-term manufacturing risks
  • Optimize supply chains using machine learning and forecasting
  • Optimize fleet and workforce utilization and costs
  • Consolidated data and tools

    Efficient operations are hardly possible without tools that provide a complete, accurate, and up-to-date view of the inventory, equipment, transactions, and other entities and processes. We help our clients consolidate data and develop internal services to efficiently monitor and manage all resources and activities across multiple channels, locations, and systems.

  • IoT and predictive maintenance

    The efficiency and reliability of manufacturing, maintenance, and IT operations can be significantly improved using data-driven methods. We help companies to collect IoT data at scale, monitor sensor and system metrics using anomaly detection algorithms, predict and prevent failures, and control the quality using computer vision methods.

  • Supply and production optimization

    The efficiency of supply chains and inventory management are among the top concerns for retail and manufacturing companies. We help our clients to make their operations more efficient, creating comprehensive demand forecasting, safety stock, and supply chain optimization models and tools.

  • Distribution optimization

    We help our clients to better understand their markets using quantitative methods that explain the dependencies between products, channels, and prices; optimize workforce deployment, vehicle fleet usage, and order sourcing; and build advanced B2B platforms that combine industry-specific features with B2C best practices regarding user experiences.


We help clients in retail, manufacturing, energy, and other sectors to improve their operations using data-driven methods.

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We help logistics and distribution companies monitor and maintain their equipment across thousands of locations, optimally operate vehicle fleets, and reduce operational costs using data-driven methods.

Our latest thinking on efficient operations

A guide to dynamic pricing algorithms
This article is a deep dive into dynamic pricing algorithms that use reinforcement learning and Bayesian inference ideas; these were tested at scale by companies like Walmart and Groupon.
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Safety stock optimization for Ship-from-Store
In this post, we describe the inventory optimization problem for Buy Online Pick Up in Store (BOPUS) and Ship-from-Store (SFS) use cases, and provide a case study that shows how this problem has been solved in real-life settings using machine learning methods.
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Deep reinforcement learning for supply chain and price optimization
In this article, we explore how deep reinforcement learning methods can be applied in several basic supply chain and price management scenarios.
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Our clients

Finance & Insurance

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