[/imageframe][/fullwidth][fullwidth background_color="" background_image="https://www.nehanet.com/wp-content/uploads/revslider/Avada_Small_Slider/slide_4.jpg" background_parallax="none" enable_mobile="no" parallax_speed="0.3" background_repeat="no-repeat" background_position="left top" video_url="" video_aspect_ratio="16:9" video_webm="" video_mp4="" video_ogv="" video_preview_image="" overlay_color="" overlay_opacity="0.5" video_mute="yes" video_loop="yes" fade="no" border_size="0px" border_color="" border_style="solid" padding_top="20" padding_bottom="20" padding_left="50" padding_right="50" hundred_percent="no" equal_height_columns="yes" hide_on_mobile="no" menu_anchor="" class="" id=""][title size="1" content_align="left" style_type="none" sep_color="" margin_top="" margin_bottom="0px" class="" id=""]Building a Dynamic AI-Based Annual Operating Plan
[/title][separator style_type="single" top_margin="5px" bottom_margin="10px" sep_color="#f2a218" border_size="1px" icon="" icon_circle="" icon_circle_color="" width="" alignment="center" class="" id=""]It's time to make an effective operating plan for 2018 -- a time-consuming, difficult process with lots of variables, data, and guess work.
Creating an AOP for an Electronics Component business is time-consuming and difficult to manage because there are so many variables to take into consideration. One must consolidate not only what the customer sales outlook is but also what operations can support, what the margin impacts are for the business assumptions you make, and when new products will be available to sales to provide additional growth. One must also factor in mega-trends at the technology, competitive, segment, and market levels.
As AI and Machine Learning technologies improve, they can be incorporated into the AOP development process to create a more rigorous and accurate outlook. Continue reading about how AI and Machine Learning can be leveraged to provide unique insights and guidance for your business.
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