{"id":11204,"date":"2023-08-23T13:35:27","date_gmt":"2023-08-23T17:35:27","guid":{"rendered":"https:\/\/smartcorp.com\/?page_id=11204"},"modified":"2023-08-23T14:52:31","modified_gmt":"2023-08-23T18:52:31","slug":"ventaja-ai-ml-en-la-prevision-y-optimizacion-del-inventario","status":"publish","type":"page","link":"https:\/\/smartcorp.com\/es\/ai-ml-advantage-in-forecasting-and-inventory-optimization\/","title":{"rendered":"Ventajas de AI y ML en previsi\u00f3n y optimizaci\u00f3n de inventario"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; fullwidth=&#8221;on&#8221; _builder_version=&#8221;4.16&#8243; height_last_edited=&#8221;off|phone&#8221; max_height_tablet=&#8221;&#8221; max_height_phone=&#8221;&#8221; max_height_last_edited=&#8221;on|phone&#8221; z_index_tablet=&#8221;500&#8243; box_shadow_horizontal_tablet=&#8221;0px&#8221; box_shadow_vertical_tablet=&#8221;0px&#8221; box_shadow_blur_tablet=&#8221;40px&#8221; box_shadow_spread_tablet=&#8221;0px&#8221; locked=&#8221;off&#8221; 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header_4_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_5_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_5_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_5_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_6_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_6_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_6_text_shadow_blur_strength_tablet=&#8221;1px&#8221; box_shadow_horizontal_tablet=&#8221;0px&#8221; box_shadow_vertical_tablet=&#8221;0px&#8221; box_shadow_blur_tablet=&#8221;40px&#8221; box_shadow_spread_tablet=&#8221;0px&#8221; use_border_color=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h1>\u00a0AI &amp; ML Transformation in Forecasting and Inventory Optimization<\/h1>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; text_font_size=&#8221;16px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>The integration of new Artificial Intelligence (AI) and Machine Learning (ML) technologies brings transformative benefits to the fields of statistical forecasting and inventory optimization:<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_3,1_3,1_3&#8243; use_custom_gutter=&#8221;on&#8221; gutter_width=&#8221;2&#8243; make_equal=&#8221;on&#8221; module_class=&#8221;hp-sect2-tit&#8221; _builder_version=&#8221;4.21.0&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; custom_margin=&#8221;||0px||false|false&#8221; custom_padding=&#8221;||0px||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_blurb url=&#8221;https:\/\/smartcorp.com\/smart-platform\/&#8221; image=&#8221;https:\/\/smartcorp.com\/wp-content\/uploads\/2023\/08\/Smart-accuracy-Forecasting-AI.png&#8221; alt=&#8221;Smart accuracy Forecasting AI&#8221; image_icon_width=&#8221;72%&#8221; admin_label=&#8221;Enhanced Accuracy&#8221; _builder_version=&#8221;4.21.0&#8243; header_text_color=&#8221;#0c71c3&#8243; body_line_height=&#8221;1.6em&#8221; custom_margin=&#8221;|-1px|30px|-1px|false|false&#8221; custom_padding=&#8221;20px|24px|47px|24px|false|false&#8221; animation=&#8221;off&#8221; border_radii=&#8221;on|1px|1px|1px|1px&#8221; box_shadow_style=&#8221;preset1&#8243; box_shadow_blur=&#8221;11px&#8221; image_max_width=&#8221;72%&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h4 style=\"text-align: center;\">Enhanced Accuracy<\/h4>\n<p>AI and ML algorithms can analyze complex data sets with remarkable accuracy, leading to more precise demand forecasts. These technologies can identify intricate patterns and factors that traditional statistical methods might miss, improving the accuracy of forecasts and optimizing inventory levels accordingly.<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb url=&#8221;https:\/\/smartcorp.com\/smart-platform\/&#8221; image=&#8221;https:\/\/smartcorp.com\/wp-content\/uploads\/2023\/08\/Data-Integration-Inventory-Forecasting-Software.png&#8221; alt=&#8221;Data Integration Inventory Forecasting Software&#8221; image_icon_width=&#8221;72%&#8221; admin_label=&#8221;Data Integration and Insights&#8221; _builder_version=&#8221;4.21.0&#8243; header_level=&#8221;h6&#8243; header_text_color=&#8221;#ffffff&#8221; header_line_height=&#8221;1.6em&#8221; body_line_height=&#8221;1.6em&#8221; custom_margin=&#8221;|-1px|20px|-1px|false|false&#8221; custom_padding=&#8221;20px|24px|22px|24px|false|false&#8221; animation=&#8221;off&#8221; border_radii=&#8221;on|1px|1px|1px|1px&#8221; box_shadow_style=&#8221;preset1&#8243; box_shadow_blur=&#8221;11px&#8221; image_max_width=&#8221;72%&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h4 style=\"text-align: center;\">Data Integration and Insights<\/h4>\n<p>AI and ML can process and analyze large volumes of data from multiple sources, integrating information from diverse channels. This comprehensive analysis provides deeper insights into customer behavior, external factors, and market dynamics, leading to more accurate forecasts and optimized inventory strategies.<\/p>\n<p>[\/et_pb_blurb][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_blurb url=&#8221;https:\/\/smartcorp.com\/smart-platform\/&#8221; image=&#8221;https:\/\/smartcorp.com\/wp-content\/uploads\/2020\/05\/A5-Improve-Planner-Productivity-Software-copy.png&#8221; alt=&#8221;Logo Improve Planner Productivity Software&#8221; image_icon_width=&#8221;72%&#8221; admin_label=&#8221;Adaptability to Dynamic Trends&#8221; _builder_version=&#8221;4.21.0&#8243; header_level=&#8221;h6&#8243; header_font=&#8221;Cabin||||||||&#8221; header_text_align=&#8221;left&#8221; header_text_color=&#8221;#ffffff&#8221; header_font_size=&#8221;14px&#8221; header_line_height=&#8221;1.6em&#8221; body_line_height=&#8221;1.6em&#8221; custom_margin=&#8221;|-1px|30px|-1px|false|false&#8221; custom_padding=&#8221;20px|24px|34px|24px|false|false&#8221; animation=&#8221;off&#8221; border_radii=&#8221;on|1px|1px|1px|1px&#8221; box_shadow_style=&#8221;preset1&#8243; box_shadow_blur=&#8221;11px&#8221; image_max_width=&#8221;72%&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h4 style=\"text-align: center;\">Adaptability to Dynamic Trends<\/h4>\n<p>AI and ML enable real-time adaptation to evolving market trends, seasonality, and demand patterns. This agility enhances the effectiveness of both forecasting and inventory optimization, ensuring that strategies remain aligned with current market conditions.<\/p>\n<p>&nbsp;<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb url=&#8221;https:\/\/smartcorp.com\/smart-platform\/&#8221; image=&#8221;https:\/\/smartcorp.com\/wp-content\/uploads\/2023\/04\/9-Gen2-Inventory-Optimization-models-several-inventory-policies-150&#215;150.png&#8221; alt=&#8221;9 Gen2 Inventory Optimization models several inventory policies&#8221; image_icon_width=&#8221;56%&#8221; admin_label=&#8221;Continuous Learning&#8221; _builder_version=&#8221;4.21.0&#8243; header_text_color=&#8221;#0c71c3&#8243; body_line_height=&#8221;1.6em&#8221; custom_margin=&#8221;|-1px|58px|-1px|false|false&#8221; custom_padding=&#8221;20px|24px|52px|24px|false|false&#8221; animation=&#8221;off&#8221; border_radii=&#8221;on|1px|1px|1px|1px&#8221; box_shadow_style=&#8221;preset1&#8243; box_shadow_blur=&#8221;11px&#8221; image_max_width=&#8221;72%&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h4 style=\"text-align: center;\">Continuous Learning<\/h4>\n<p>AI and ML algorithms continuously learn and adapt based on new data inputs and outcomes. This iterative learning process enhances the accuracy and effectiveness of forecasts and inventory optimization over time, enabling businesses to stay ahead in dynamic markets.<\/p>\n<p>[\/et_pb_blurb][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_blurb url=&#8221;https:\/\/smartcorp.com\/smart-platform\/&#8221; image=&#8221;https:\/\/smartcorp.com\/wp-content\/uploads\/2020\/05\/A1-Meet-Customer-Demand-Software-copy.png&#8221; alt=&#8221;Meet Customer Demand Software&#8221; image_icon_width=&#8221;72%&#8221; admin_label=&#8221;Automation and Efficiency&#8221; _builder_version=&#8221;4.21.0&#8243; header_text_color=&#8221;#0c71c3&#8243; body_line_height=&#8221;1.6em&#8221; custom_margin=&#8221;|-1px|32px|-1px|false|false&#8221; custom_padding=&#8221;20px|24px|47px|24px|false|false&#8221; animation=&#8221;off&#8221; border_radii=&#8221;on|1px|1px|1px|1px&#8221; box_shadow_style=&#8221;preset1&#8243; box_shadow_blur=&#8221;11px&#8221; image_max_width=&#8221;72%&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h4 style=\"text-align: center;\">Automation and Efficiency<\/h4>\n<p>AI and ML technologies automate much of the forecasting and optimization process. This not only saves time and reduces manual labor but also allows for quicker responses to changes in demand or supply. Automation enables businesses to be more responsive and agile in their decision-making.\u200b<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb url=&#8221;https:\/\/smartcorp.com\/smart-platform\/&#8221; image=&#8221;https:\/\/smartcorp.com\/wp-content\/uploads\/2023\/04\/12-Gen2-Forecasting-is-available-in-several-ways-150&#215;150.png&#8221; alt=&#8221;12 Gen2 Forecasting is available in several ways&#8221; image_icon_width=&#8221;56%&#8221; admin_label=&#8221;Reduced Bullwhip Effect&#8221; _builder_version=&#8221;4.21.0&#8243; header_level=&#8221;h6&#8243; header_text_color=&#8221;#ffffff&#8221; header_line_height=&#8221;1.6em&#8221; body_line_height=&#8221;1.6em&#8221; custom_margin=&#8221;|-1px|30px|-1px|false|false&#8221; custom_padding=&#8221;20px|24px|52px|24px|false|false&#8221; animation=&#8221;off&#8221; border_radii=&#8221;on|1px|1px|1px|1px&#8221; box_shadow_style=&#8221;preset1&#8243; box_shadow_blur=&#8221;11px&#8221; image_max_width=&#8221;72%&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h4 style=\"text-align: center;\">Reduced Bullwhip Effect<\/h4>\n<p>AI and ML can help mitigate the bullwhip effect, which is the amplified demand variability observed as one moves up the supply chain. By improving forecast accuracy and optimizing inventory across the chain, these technologies reduce fluctuations and enhance supply chain stability.<\/p>\n<p>[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][et_pb_row module_class=&#8221;hp-sect2-tit&#8221; _builder_version=&#8221;4.21.0&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; custom_margin=&#8221;0px||0px||false|false&#8221; custom_padding=&#8221;0px||0px||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; text_font_size=&#8221;16px&#8221; custom_margin=&#8221;0px||22px||false|false&#8221; custom_padding=&#8221;0px||22px||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><strong>In essence, the integration of AI and ML technologies into statistical forecasting and inventory optimization brings unprecedented accuracy, adaptability, automation, and insights to these fields, ultimately leading to more efficient and responsive supply chain management.<\/strong><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;section&#8221; _builder_version=&#8221;4.16&#8243; background_color=&#8221;#f0f0f0&#8243; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;3_5,2_5&#8243; admin_label=&#8221;row&#8221; _builder_version=&#8221;4.16&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;3_5&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text admin_label=&#8221;Solutions, Benefits&#8221; _builder_version=&#8221;4.21.0&#8243; background_color=&#8221;#ffffff&#8221; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; custom_padding=&#8221;33px|33px|70px|33px|false|false&#8221; box_shadow_style=&#8221;preset1&#8243; box_shadow_blur=&#8221;12px&#8221; use_border_color=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3 class=\"as-h4\">Smart Software\u2019s Advanced Machine Learning<\/h3>\n<p>Smart Software has built-in machine learning algorithms that can detect significant changes in the character of an item\u2019s demand. \u00a0Smart Software\u2019s Machine Learning models mass-customize the decision of which historical data to use, yielding more accurate forecasts for all items.<\/p>\n<p>Smart Software enhances forecasting precision by incorporating daily demand and supply signals, pushing the boundaries of traditional probabilistic forecasting methods. This advancement leads to more accurate estimations of mean demand and a more realistic assessment of forecast uncertainty. By accounting for different timeframes and seasonality patterns, the resulting forecasts are more refined and better aligned with the actual demand patterns.<\/p>\n<p>In response to the rapidly changing business landscape, where operations are conducted at an accelerated pace and demand patterns have grown intermittent due to the proliferation of SKU variations, Smart Software adapts by basing its calculations on daily data. This approach allows for the simulation of daily demands over future periods, facilitating proactive adjustments to reorder levels or expediting processes. This heightened responsiveness enables course corrections much earlier than conventional methods, culminating in optimized inventory levels.<\/p>\n<p>Recognizing the potential for demand patterns to undergo significant shifts that older observations may overlook Smart Software employs machine learning algorithms for automated regime change detection. By identifying and excluding data from obsolete economic regimes, this method mitigates biases in forecasts and ensures that only pertinent data contributes to each item&#8217;s demand evaluation.<\/p>\n<p>Smart Software distinguishes itself by adopting a customized approach to historical data utilization, moving away from a generic strategy. Through its machine learning models, it adeptly determines the most relevant historical data for each specific item. This personalized methodology significantly enhances forecast accuracy, as it considers the distinct demand traits of each product. In synergy, Smart Software&#8217;s comprehensive methodology, encompassing daily data integration, adaptive forecasting techniques, regime change detection, and bespoke historical data application, harmonizes to optimize inventory management. 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optimization<\/p>","protected":false},"author":157,"featured_media":11207,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","content-type":"","footnotes":""},"class_list":["post-11204","page","type-page","status-publish","has-post-thumbnail","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AI &amp; ML Advantage in Forecasting and Inventory Optimization - Smart Software<\/title>\n<meta name=\"description\" content=\"Artificial Intelligence (AI) and Machine Learning (ML) bring benefits to the fields of statistical forecasting and inventory optimization.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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