Sujit Singh

About Sujit Singh

As COO of Arkieva, Sujit manages the day-to-day operations at Arkieva such as software implementations and customer relationships. He is a recognized subject matter expert in forecasting, S&OP and inventory optimization. Sujit received a Bachelor of Technology degree in Civil Engineering from the Indian Institute of Technology, Kanpur and an M.S. in Transportation Engineering from the University of Massachusetts. Throughout the day don’t be surprised if you find him practicing his cricket technique before a meeting.

Creating Detailed Customer Order Allocation Data for Yearly Volume Contracts

A guide on how to improve material planning using a more detailed volume allocation of customer orders. It is a common business practice to write up yearly contracts for the volume. Very often, this is done to extend volume discounts to the customer. That is obviously a benefit to the customer. The supplier benefits by knowing how much to budget for in terms of production through the year. They can also count on the revenue coming in.

By |2019-04-13T23:09:03-04:00August 21st, 2018|Inventory Management|0 Comments

Outgrowing Excel? Here’s How to Create a Centralized Demand Planning Process

Demand Planning directly affects the business financial plan, pricing, capex decisions, customer segmentation and resource allocation. Considering the criticality and implication of this process, Demand Planners and Managers need to continually evaluate their current Demand Planning process and ensure that the Demand Plan generated is holistic, relevant and timely.

By |2019-04-13T23:09:03-04:00August 14th, 2018|Demand Planning, Forecasting|0 Comments

Should I Use Order Lead Time for Demand Segmentation?

To set the foundation for this discussion, let us first look at the definition of order lead time. Order lead time is the time gap between the date when a customer places an order and when they expect to receive the product. Typically, in a B2B environment, the expectation is that there will be some gap between the two dates, and in many cases, this gap can be negotiated.

By |2019-04-13T23:09:08-04:00March 27th, 2018|Demand Planning, Segmentation|0 Comments

Can Demand Segmentation Improve Your Statistical Forecast?

Imagine a demand planner working with 10,000 unique combinations. One of the not so envious tasks for this person would be to generate statistical forecast for all these combinations. These days, the statistical forecasting tools available on the market can forecast these combinations using a list of forecasting methods and figure out which method works best for a particular combination.

By |2019-04-13T23:09:08-04:00March 22nd, 2018|Demand Planning|1 Comment

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