Avercast Business Forecasting (ABF) is an on-premise inventory and sales forecasting solution designed to help businesses analyze their past data and forecast future demands. It is compatible with Windows operating systems and serves small to midsize businesses across various industry verticals.
Users can analyze up to five years of previous data in order to forecast future sales and inventory needs. Forecasts can be run for an entire organization or for a single warehouse, region or territory. Avercast also offers graphical representations of data through charts and graphs. Users can drill down further into charts to view information about forecasts and estimates.
Avercast analyzes user forecast requirements and automatically selects the "best-fit" forecasting methodology. Additionally, the solution integrates with enterprise resource planning (ERP) applications to exchange live inventory updates, manage demands and schedule stock reordering.
Avercast users can connect via phone and email for customer support. Pricing is per license.
Avercast gives you the ability to make forecast plans and events on several levels. It allows you to not only plan demand at the SKU level, it has the ability to roll that demand up to different levels, allowing you to get a high level view of the total demand and overall trends. The built in forecasting methods are a covenant when you want to automate some of your forecasting. The data extract and import modules are very convenient when you are maintaining your items, or updating a large number of forecasts at one time. The program overall has helped us reduce our overall inventory levels, as well as helped us gain better access and visibility into our supply and forecasting plans.
Because Avercast has so many built in fuctions, and the Avercast team continues to improve the functionality of the program, one of the difficulties that we see are, whenever there is a new version roll out there are several customizations that we have built into our version that need to be rewritten and rebuilt into our new versions in order for our program to run correctly again.
Although the use of built in forecasting methods makes forecasting convienant, it is often difficult to know which forecasting algorithms are being applied to the forecast and what data they are being derived from. It would be nice if Avercast gave you an idea of what forecasting methods are being applied and how to interpret the out put of those forecasting algorithms.
Thanks for the review James! We appreciate your business over the last few years. We're glad you like the features of our demand planning software and are glad you have been able to reduce overall inventory. We are working to provide better documentation for our custom enhancements.
Feel free to give us a call or an e-mail with any questions you have in the mean time. Thank you again for leaving such a great review.
Great Customer Support. Enhancement requests heard at the annual customer conference. Assurance that the best plan is being implemented by the system which saves us time and money annually.
We have been using Avercast for 4-5 years now, and the improvements from our old methods to this have been very noticeable.
Given the wide range of algorithms the system uses and not to mention the ease of use, whether you are a roll-up or top-down planning company, Avercast adapts to your business needs. More importantly, because of Avercast our team is allowed to focus our time on outliers in the system. When you are a very SKU intense organization like we are, time management is everything.
I think the biggest gain with Avercast though is the customer support you receive with the software. There's no helpdesk email or portal system. We simply call the office and speak right with their developers; a huge win in our opinion.
The only thing that needs improvement, in our opinion is the user interface. With Avercast being an SQL based program, it still resembles one on the front end. Given the enhancements in technology each day, it would be great to see the Avercast software get a new face lift.
Don't be fooled though. The dated design in no way reflects the capabilities of the calculations and processes that the software uses. We don't care how dated the front end looks as long as the information is accurate and correct.