Our well trained, highly proficient business professionals are ready and excited to build a collaborative business relationship that doesn’t end at the point of sale. The team at Achieve IT Solutions takes ownership of their work and we are constantly educating and reeducating ourselves to stay on top of our industry and yours. Each company is unique and Achieve IT Solutions wel-comes challenges; each variation is viewed as an opportunity to learn.
A prime concern of every distribution company is to determine when to
procure stock items, and how much of each one to order. SAP Business
One with Resolv Inventory Planning provides three different approaches
to supply-chain management. Each company may select whichever
method is most useful, or different methods may be used for different
groups of items or different sectors of the business.
MRP: This is the standard Business One supply management
methodology. It includes the ability to include open Sales Orders,
Purchase Orders, and Production Orders, as well as user-defined
Forecasts to determine demand and supply over a pre-defined
period of time.
Replenishment: This Resolv methodology is based on the formulas
developed by Gordon Graham. It bases estimates of future demand
on averages of past usage, lead times, and other factors calculated
by the system.
Forecasting: This Resolv methodology is based on a set of formulas
developed by Effective Inventory Management, Inc. They incorporate
various trends and weighted averages along with past usage to
predict demand. Forecasts are calculated by the system.
The object of Resolv Inventory Planning, in all instances, is to provide a
proactive approach to procuring stock items. Rather than wait until
someone notices that stock is getting low, the system establishes a
procedure to determine when each item should be ordered, and the
quantity to order each time.
Key Functional Areas
Safety stock calculations
Track monthly usage history
Track lead times for purchasing or production
Track movement classes for each item by warehouse
Order quantity methods by item
Forecasting for each item by warehouse
Surplus and slow stock alerts to reduce carrying costs and dead stock