{"id":38126,"date":"2024-10-11T08:44:24","date_gmt":"2024-10-11T12:44:24","guid":{"rendered":"https:\/\/blueridgeglobal.com\/demand-forecasting\/forecasting-seasonal-demand-with-machine-learning-tools\/"},"modified":"2025-10-31T14:07:02","modified_gmt":"2025-10-31T18:07:02","slug":"lead-time-forecasting","status":"publish","type":"page","link":"https:\/\/blueridgeglobal.com\/demand-forecasting-guide\/lead-time-forecasting\/","title":{"rendered":"Lead Time Forecasting: An Essential Step to Expert Demand Planning"},"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=”Lead Time Forecasting: An Essential Step to Expert Demand Planning” font_container=”tag:h1|text_align:left|color:%23ffffff” use_theme_fonts=”yes” css=”.vc_custom_1728650720618{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=”38128″ 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]When it comes to lead times, the days of making impulsive or unstrategic decisions are behind us.<\/p>\n

Where long lead times were once nearly impossible to predict,\u00a0modern technologies and forecasting strategies<\/a>\u00a0can help your company better prepare for all types of supply chain situations. Harnessing advanced solutions for lead times means staying ahead of your demand planning and inventory management.<\/p>\n

Welcome\u00a0Back to\u00a0Our \u20187 Essential Steps\u2019 Series!<\/h2>\n

We hope you enjoyed last week\u2019s post on\u00a0demand forecasting<\/a>. Today it\u2019s onto the\u00a0second\u00a0essential step of \u2018getting it right\u2019 in the purchasing process\u2026\u00a0Lead time forecasting!<\/p>\n

Lead time forecasting is a critical and often overlooked component of demand planning and replenishment. For many retail and wholesale distributors, this is the first time you will put the words \u201clead time\u201d and \u201cforecast\u201d together.<\/p>\n

Since supply chain experts do not have a crystal ball for lead time predictions, we need to adopt a more methodical approach to calculating safety stock in terms of lead times. Data-driven decision-making (DDDM) is key to improving accuracy and driving more substantial results.<\/p>\n

It makes a ton of sense when you think about it. With service and inventory performance at stake, why would you put tremendous resources into demand forecasting for your customers without\u00a0giving the same attention to describing suppliers’ lead times?\u00a0Lead time forecasting intelligence needs and deserves the same level of sophistication as demand forecasting!<\/p>\n

Get Off the \u2018Worst-Case-Scenario\u2019 Train!<\/h2>\n

Supply chain and retail professionals have followed an interesting yet costly buying pattern for decades. While analysts are comfortable with a demand forecast that cuts through the middle of their demand history, lead time forecasting tends to send us spiraling into a worst-case scenario.<\/p>\n

If the deliveries have been averaging 8 to 12 days, you are often more likely to see a 12-day lead time set rather than the average of 10.<\/p>\n

At the same time, an item that historically sells between 50 and 150 will have a demand forecast of 100.<\/p>\n

The first step of the lead time forecasting process is to treat the lead time value as a forecast\u00a0rather than a setting.<\/p>\n

If you have this mindset, great results will follow.<\/p>\n

Supplier and Item Lead Time Forecasting<\/h3>\n

A strong lead time forecasting process analyzes the main receipt history and offers a supplier lead time forecast, but also offers item-level lead time forecasting for those items that are being scratched or short-shipped frequently.<\/p>\n

The need for unique item-level lead time forecasting typically varies by industry.\u00a0\u00a0 Industries where suppliers have poor and inconsistent delivery performance \u2014 such as\u00a0furniture distribution<\/a>\u00a0\u2014 will benefit from item-level lead time forecasting.<\/p>\n

Just like in demand forecasting,\u00a0<\/strong>gather as much lead time history as possible. Your data is extremely valuable. Years of lead time history and real-time analysis will allow you to put inventory behind the winning SKUs.<\/p>\n

Key Components<\/h2>\n

Similar to the demand forecasting process, there are 3 critical attributes of lead time forecasting:\u00a0 Lead Time Forecast, Lead Time Deviation, and Lead Time Seasonality.\u00a0When done right, lead time forecasting delivers precision in all 3.<\/p>\n

1.\u00a0Lead Time Forecast<\/h3>\n

Start with the actual lead time forecast value, but don\u2019t stop there. Offer as much history as possible. An intelligent forecasting method will tell you how much to use for each supplier and item. You can find this in today\u2019s advanced\u00a0cloud-native solutions for forecasting.<\/a><\/p>\n

2.\u00a0Lead Time Deviation<\/h3>\n

The deviation describes the reliability of the supplier and their performance.<\/p>\n

Similar to the demand deviation, the higher the lead time deviation, the more safety stock will be required. This additional safety stock becomes part of the inventory operating expense and will negatively impact the profit of an item.<\/p>\n

Your suppliers need to know, and so do you.<\/p>\n

Suppliers need to realize that their consistency is just as important as their length of lead time. A lead time of 10 days that varies from 6 to 14 days will likely\u00a0cause more\u00a0inventory expense<\/a>\u00a0than a consistent lead time of 11 days. The extra safety stock will absolutely impact your inventory operating expense.<\/p>\n

3. Lead Time Seasonality<\/h3>\n

Yes, your lead time deliveries also experience seasonal fluctuations. Accounting for these seasonal shifts can help your company improve the customer experience while minimizing supply chain cost spikes.<\/p>\n

Common causes of seasonal delivery changes include:<\/p>\n