Introduction to the Company & Supply Chain Management:

In today’s world, especially post-COVID, the term supply chain has become more familiar to most of us. This company operates in that vital space, helping businesses manage the flow of goods—from sourcing raw materials to delivering finished products to customers. Think of the process behind creating and delivering an iPhone: sourcing the aluminum, making the screen, assembling the parts, and finally getting it into your hands. That whole process is the supply chain.

The company’s focus within this vast field is supply chain planning. They help businesses manage three essential areas:

  1. Demand Planning: Predicting how much of a product customers will need in the future.
  2. Replenishment: Ensuring stores and warehouses have the right stock levels, without overstocking or running out.
  3. Integrated Business Planning (IBP): Aligning product demand forecasts with financial and operational plans to ensure the resources needed are available to meet customer demand.

Their mission is to ensure businesses have the right products, in the right quantities, at the right time—using data-driven, modern technology solutions rather than outdated guesswork.

How Their Solutions Work:

Imagine walking into a large retail store and seeing shelves stocked with everything from toothpaste to car tires. There's a whole team behind the scenes making sure those products are available when you need them. The company’s software helps manage the stock levels of hundreds of thousands, sometimes millions, of different products.

Here’s a simplified breakdown:

Machine Learning & Customization:

The company uses a set of 12 different machine learning models to predict demand, such as moving averages and Holt-Winters models. What’s unique is that the system continuously adapts these models based on product type and seasonality. For instance, the best model for Halloween costumes might only be relevant during the season (mid-September to October), and afterward, the system adjusts to focus on the next relevant product.

Every week or month, depending on the client, the models are retrained to ensure forecast accuracy. Since seasonality and market conditions change, so too do the machine learning algorithms.

Industry Focus:

The company is particularly strong in several industries: