Authored by: Vijendra Kargudri
Over the decades, businesses have witnessed exponential evolution of products, markets and their supply chains due to globalization and ever-changing – technology & customer demands. Having transcended the geographies, most of the supply chains have gotten complex with interdependent processes. The manual processes that were sufficiently used many decades ago, can no longer handle the evolving business needs efficiently.
To meet the customers’ changing needs & fluctuating market seasonality is critical for any business. This is possible only when there is an absolute visibility across various supply chain processes – both internally & externally.
Any business trading globally can be successful only when it can attain such visibility and accurately execute its supply & operational planning to generate real-time information to forecast their products’ demand & supply volatility along with inventory.
For far too long, many businesses using legacy systems have lagged on many fronts mentioned above, adversely affecting their bottom lines. To quickly address the evolving products, markets and supply chains requirements, newer technology that are agile, scalable, and lean are preferred.
Across industries, many businesses are using SAP APO to execute demand & supply planning for their products. SAP APO which has reached its maturity phase in product life cycle and being challenged on all fronts by a newer product – SAP IBP.
If you are into supply chain management using SAP APO, it makes sense to migrate to SAP IBP. But before migrating, it is all the more necessary to dive deep and understand the differences between SAP APO & SAP IBP.
To know more about their differences and the advantages SAP IBP has over SAP APO, please download the Krypt’s White Paper entitled – SAP IBP vs APO.
As an SAP’s preferred partner, Krypt can help you achieve accurate demand forecasting & planning by –
- correctly defining the product type viz., assemble-to-order or make-to-stock
- aligning the company’s forecasting activities around one common set of statistical data for best results throughout the supply chain
- determining the right tenure to forecast & plan for a specific supply chain activity like procurement, production or sales
- helping you opt for macro-forecasting that consists of identifying current market trend & how it may change in the future OR opt for micro-forecasting that is concerned with the examination of a product’s share of a specific industry based on the life-cycle of your product(s).
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