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G.I.B Dispo-Cockpit Optimizing Logistic Processes in SAP

G.I.B Dispo-Cockpit Optimizing Logistic Processes in SAP

G.I.B Dispo-Cockpit Optimizing Logistic Processes in SAP

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4<br />

IMPROVE PLANNING, INCREASE EFFICIENCY:<br />

G.I.B DISPO-COCKPIT FORECAST<br />

FOR SALES PLANNING AND FORECAST<br />

G.I.B <strong>Dispo</strong>-<strong>Cockpit</strong> Forecast supports<br />

the process of decentralized plann<strong>in</strong>g<br />

and offers consolidation functions with<strong>in</strong><br />

a central plann<strong>in</strong>g monitor. The<br />

application regulates and controls the<br />

transfer to the ERP system or to alternative<br />

subsystems. In addition, several<br />

different features <strong>in</strong> the field of forecast<br />

and monitor<strong>in</strong>g are provided and supported<br />

by workflow, traffic light and<br />

alarm functionalities.<br />

Our sales plann<strong>in</strong>g and forecast tool<br />

G.I.B <strong>Dispo</strong>-<strong>Cockpit</strong> Forecast is fast and<br />

easy to operate and thus unfolds a high<br />

degree of efficiency. The roll<strong>in</strong>g sales<br />

plann<strong>in</strong>g is used to optimize production<br />

plans. G.I.B <strong>Dispo</strong>-<strong>Cockpit</strong> Forecast<br />

permits a prompt realization of optimum<br />

forecast procedures <strong>in</strong> order to<br />

<strong>in</strong>crease your performance and to optimize<br />

your stocks.<br />

The forecast models provided by G.I.B<br />

<strong>Dispo</strong>-<strong>Cockpit</strong> Forecast allow accurate<br />

prognoses and a correspond<strong>in</strong>gly reliable<br />

plann<strong>in</strong>g accuracy. Requirements<br />

are calculated on the basis of historical<br />

bus<strong>in</strong>ess volume data, causal factors,<br />

market<strong>in</strong>g campaigns, market <strong>in</strong>telligence<br />

and sales targets. These processes<br />

are supported by algorithms<br />

accord<strong>in</strong>g to Croston or W<strong>in</strong>ters, by<br />

median method etc. depend<strong>in</strong>g on the<br />

course of the exam<strong>in</strong>ed time series<br />

(control signals).<br />

Thanks to the embedded upload and<br />

download functionality it is possible to<br />

<strong>in</strong>tegrate data from other <strong>SAP</strong> systems<br />

<strong>in</strong>to requirements calculation. Furthermore,<br />

important <strong>in</strong>formation from non-<br />

<strong>SAP</strong> systems can also be <strong>in</strong>cluded <strong>in</strong>to<br />

G.I.B <strong>Dispo</strong>-<strong>Cockpit</strong> Forecast. By means<br />

of these functions for example even<br />

smaller sales companies, which do not<br />

yet use a consistent <strong>SAP</strong> system, are<br />

enabled to <strong>in</strong>tegrate their forecast<br />

requirements <strong>in</strong>to consolidation.<br />

Via correspond<strong>in</strong>g download procedures<br />

data may be collected cyclically<br />

by means of a plann<strong>in</strong>g calendar. These<br />

can be made available <strong>in</strong> respective<br />

aggregations by suppliers <strong>in</strong> form of<br />

e-mail, CSV-files or on market places. In<br />

this way it is guaranteed that all corporate<br />

plann<strong>in</strong>g areas are taken <strong>in</strong>to<br />

account, which leads to a significant<br />

<strong>in</strong>crease <strong>in</strong> forecast accuracy and a<br />

last<strong>in</strong>g boost of your competitive edge.

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