Hellen Oti-Yeboah

About Hellen Oti-Yeboah

Hellen is the Marketing Manager at Arkieva, managing all aspects of Arkieva’s marketing initiatives. A passionate technology enthusiast, Hellen is always looking for new ways to use technology to improve results and connect with prospective and existing clients. When she's not strategizing or implementing cool marketing ideas at Arkieva, Hellen enjoys experimental cooking with her 'newly created Masterchef recipes.'

Selecting the Appropriate Forecasting Method

Selecting the right forecasting methods can be highly critical in how accurate your forecasts are. Unfortunately, there isn’t a golden ticket to forecasting which can essentially ensure accuracy. While the best-fit forecasting method is dependent on a business’ specific situation, understanding the types of forecasting methods can aid in your decision-making.

By |2019-04-13T23:09:02-04:00November 27th, 2018|Demand Planning, Forecasting|0 Comments

7 Must-Attend Sessions at The Gartner Supply Chain Executive Conference

We are thrilled about presenting a session with Arkieva customer — Lush Handmade Cosmetics. The session that focuses on how Lush delivers a unique brand experience also discusses how effective demand planning solutions help with creating that experience. Last year we created the 2017 Gartner Supply Chain Conference list of Must-Attend Sessions. To continue along that tradition, here is the list of Must-Attend sessions at the Gartner Supply Chain Conference this year.

By |2019-04-13T23:09:05-04:00May 10th, 2018|Events, Supply Chain|0 Comments

How Does My Open Order History Impact My Sales Prediction?

An open order is defined as an order placed by the customer which is under process and is yet to be fulfilled by the supplier. For effective analysis, open order data needs to be recorded daily in an ERP system. A minimum of twelve to eighteen months of open order history is required for your sales forecasting analysis and fine-tuning process. A shorter period could render unreliable and skew the results of your data analysis.

By |2019-04-13T23:09:09-04:00March 2nd, 2018|Demand Planning, Forecasting|0 Comments

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