EazyStock is a cloud-based inventory management solution for small to midsize businesses. It is designed for companies within manufacturing, wholesale, distribution and spare parts industries. It provides functionality for demand forecasting, inventory planning, inventory replenishment, multi-location planning and inventory simulation with screens. The solution offers a ‘Management by Exception’ process that can manage inventory automatically to remove excess and obsolete stock and meet customer service level targets with the minimum capital tied up in inventory.

EazyStock provides configurable dashboards and provides a summary of the information needed to monitor inventory performance. The solution creates both graphical and numerical reports. It runs inventory simulations to help improve, service level, stocking level and inventory policy decision-making. The demand-forecasting module improves planning accuracy across inventory items and removes both over and under estimations of customer demand. It tracks the product’s demand pattern including trends as they changes over the life cycle. Integrations include Acumatica, Epicor, Jeeves, Microsoft Dynamics and Netsuite.



2 Reviews of EazyStock

Overall rating

4.5 / 5 stars

Showing 1 - 2 of 2 reviews

October 2017

Dennis from Sens

Company Size: 51-200 employees

Review Source


Ease-of-use

4 of 5

Value for money

5 of 5

Customer support

4 of 5

Functionality

5 of 5

October 2017

Great Software for a reasonable price

Pros

• Great functionalites for optimizing inventory and demand
• Decent price
• Quick onboarding
• Very advanced ABC classification & simulation
• Own App

Cons

• Should be available in some more languages
• No big customer support in Asia yet
• Product updates need to communicated clearer

August 2014

Caroline from Märtens Metall GmbH

Review Source: Capterra


Ease-of-use

5 of 5

Customer support

4 of 5

August 2014

Efficient cloud-based inventory software

Easy usage and implementation of software which quickly shows results regarding lowering inventory and saving costs. I simply uploaded historical inventory data and received significant information about future demand; so there is no need for external hardware systems what makes the process really convenient.