# MRPeasy Forecasting, Trial, Support and Cancellation > Source: https://netray.co/erp-help/mrpeasy-forecasting-trial-support-and-cancellation > Publisher: Netray (netray.co), AI and integration engineering for ERP and manufacturing systems. > Section: ERP Help ## Short answer MRPeasy plans from customer orders, stock levels and reorder rules, and works well when demand is mostly known orders. It is not a statistical forecasting engine, so teams with forecast-driven demand usually add a spreadsheet or an external model. This page also covers trial evaluation, support routes and how to exit cleanly. ## Kind how-to ## System small-erp ## Erp MRPeasy ## Module Planning / Account ## Query mrpeasy forecasting ## Alternate Queries - mrpeasy demand forecast - mrpeasy trial - mrpeasy support - mrpeasy consultant - how to cancel mrpeasy subscription ## Applies To MRPeasy cloud manufacturing software; features and plan terms change, so confirm in the product and the vendor's terms ## Steps ### How to evaluate and run planning in MRPeasy **Items:** - During the trial, load 20 to 50 real items with their bills of materials, routings and suppliers rather than the sample data. - Enter real customer orders and run the planning view to see material shortages and suggested purchases or manufacturing orders. - Set minimum stock or reorder levels for items whose demand is not tied to an order. - If you plan from a sales forecast, test whether it can be entered as planned demand in your plan, or maintain it outside and enter the resulting orders. - Test integrations you need, such as accounting and your store, and the API if you will script anything. - Contact support with two or three real questions and judge response time and quality before you buy. - Decide whether you need a consultant for data migration and routings, and define scope and fixed price. ## Sections ### What forecasting means here **Body:** MRP calculates requirements from demand you give it. If demand is firm customer orders, planning is accurate. For make-to-stock items you either set reorder points, or create planned orders reflecting a forecast you produce yourself. Statistical forecasting from history, with seasonality and error measures, is generally a separate tool. A pragmatic setup is to compute a monthly forecast in a spreadsheet or notebook from sales history, enter it as planned demand for key items and review it each month against actuals. ### Support, consultants and the trial **Body:** The vendor offers support through its help center and ticket channel, and there are independent implementation consultants. Use a consultant for data cleanup, BOM structure and routing design, where the cost of getting it wrong shows up months later. Judge the trial on whether your hardest real scenario works: a multi-level BOM with a long lead time purchase and a partial shipment. A demo of a simple product proves little. ### Exiting: data export and cancellation **Body:** To cancel a subscription, use the account or billing area of the application or contact the vendor, and check the notice period and what happens to your data afterwards. Before cancelling, export items, BOMs, customers, suppliers, open orders, stock levels and transaction history to CSV, and keep a copy that is readable without the product. Run both systems in parallel for one close if you are switching, and reconcile stock and open orders before you switch off the old one. ## Pitfalls - Judging the trial on demo data only. - Expecting statistical demand forecasting from an MRP planning module. - Cancelling before exporting historical transactions and costs. - Hiring a consultant with no fixed scope for migration. - Leaving integrations and API keys active after switching systems. ## Ai Angle A private assistant can analyse sales history exported from MRPeasy, propose monthly forecasts by item and explain the assumptions, leaving you to approve the planned demand. Because it runs locally, your sales history never leaves your own network. ## Faq ### Does MRPeasy have demand forecasting? **Answer:** It plans from orders, stock and reorder rules. Statistical forecasting from history is generally handled outside, with the forecast entered as planned demand or as reorder levels. ### Is there a free trial? **Answer:** The vendor has offered a trial period. Check the current terms on its site, and test with real data, not the sample dataset. ### How do I cancel an MRPeasy subscription? **Answer:** Use the account or billing settings or contact the vendor, after checking notice periods. Export all master and transaction data to CSV first, since access to it may end with the subscription. ### Do I need a consultant? **Answer:** Not for a simple setup. For complex BOMs, routings or a migration from another system, a consultant with a fixed scope often saves time and avoids structural mistakes. ## Search terms mrpeasy forecasting, mrpeasy demand planning, mrpeasy trial, mrpeasy support, mrpeasy consultant, cancel mrpeasy subscription, mrpeasy review, mrpeasy reorder point --- Talk to an engineer: https://netray.co/contact?intent=erp_ai | Machine catalog: https://netray.co/agent/catalog.json