{"id":38116,"date":"2024-10-11T08:32:30","date_gmt":"2024-10-11T12:32:30","guid":{"rendered":"https:\/\/blueridgeglobal.com\/demand-forecasting\/avoid-supply-chain-forecasting-errors\/"},"modified":"2025-10-31T14:06:43","modified_gmt":"2025-10-31T18:06:43","slug":"forecasting-seasonal-demand","status":"publish","type":"page","link":"https:\/\/blueridgeglobal.com\/demand-forecasting-guide\/forecasting-seasonal-demand\/","title":{"rendered":"Forecasting Seasonal Demand With Machine Learning Tools"},"content":{"rendered":"[vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” equal_height=”yes” content_placement=”middle” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” bg_color=”#202945″ bg_image=”36226″ bg_position=”left top” background_image_loading=”default” bg_repeat=”no-repeat” scene_position=”center” top_padding=”1%” constrain_group_1=”yes” bottom_padding=”1%” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” enable_shape_divider=”true” shape_divider_color=”#ffffff” shape_divider_position=”bottom” shape_divider_height=”0″ bg_image_animation=”none” gradient_type=”default” shape_type=”straight_section”][vc_column column_padding=”padding-2-percent” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/2″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_custom_heading text=”Forecasting Seasonal Demand With Machine Learning Tools” font_container=”tag:h1|text_align:left|color:%23ffffff” use_theme_fonts=”yes” css=”.vc_custom_1728650042241{padding-bottom: 2% !important;}”][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/2″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][image_with_animation image_url=”38118″ image_size=”large” animation_type=”entrance” animation=”None” animation_movement_type=”transform_y” hover_animation=”none” alignment=”center” border_radius=”20px” box_shadow=”none” image_loading=”skip-lazy-load” max_width=”100%” max_width_mobile=”default”][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” top_padding=”3%” constrain_group_1=”yes” bottom_padding=”3%” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none” gradient_type=”default” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text]According to data from the National Retail Federation (NRF), holiday shoppers in the United States\u00a0spent a record high of $964.4 billion<\/a>\u00a0during the 2023 holiday season. That’s a 3.8% increase from 2022, when spending grew to $929.5 billion \u2014 and that means\u00a0companies at all levels of the supply chain\u00a0need to step up their seasonal forecasting game if they want to stay competitive.<\/p>\n

Se<\/u>asonal profile adjustment<\/u><\/a>\u00a0is a vital\u00a0yet often overlooked part of forecasting seasonal demand.\u00a0Are your organization\u2019s forecasting models keeping up? For most companies competing in today\u2019s chaotic supply chain, it\u2019s prime time to look into machine learning tools.<\/p>\n

What Is Machine Learning?<\/h2>\n

Machine learning (ML) is\u00a0a subset of artificial intelligence<\/a>\u00a0(AI) that uses algorithms, historical data and new inputs to make a program more accurate over time. Essentially, ML allows a computer program to “learn” from previous cycles and produce better outputs based on the feedback it receives.<\/p>\n

For example, the developers at Blue Ridge Global have incorporated ML capabilities into\u00a0our Demand Planning software<\/a>\u00a0to enable more accurate predictions. Whether you need to account for hundreds or thousands of different SKUs, our automated platform updates in real time to optimize seasonal demand forecasts and improve supply chain visibility.<\/p>\n

How Machine Learning Enhances\u00a0Seasonal Supply Chain Management<\/h3>\n

To manage inventory effectively, you first need to marry the optimal forecasting\u00a0and\u00a0replenishment optimization\u00a0strategy<\/a>\u00a0with each SKU, which requires a more advanced seasonal demand forecasting approach.<\/p>\n

Leveraging machine learning techniques can help identify seasonal items more easily, generate more accurate forecasts and gain an edge\u00a0over\u00a0competitors still struggling with elementary demand models.\u00a0Here’s how:<\/p>\n