{"id":47975,"date":"2015-04-30T17:30:46","date_gmt":"2015-04-30T22:30:46","guid":{"rendered":"https:\/\/www.spscommerce.com\/resources\/sps-commerce-case-study-pell-industrial\/"},"modified":"2025-09-12T12:03:37","modified_gmt":"2025-09-12T17:03:37","slug":"sps-commerce-case-study-pell-industrial","status":"publish","type":"project","link":"https:\/\/www.spscommerce.com\/au\/resources\/sps-commerce-case-study-pell-industrial\/","title":{"rendered":"Pell Industrial"},"content":{"rendered":"

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Case study:<\/h4>\n

Pell Industrial is improving their forecasting accuracy with help from SPS Commerce<\/h1>\n

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SPS Commerce creates actionable intelligence with Trading Partner Intelligence (TPI)<\/h2>\n

\"PellPrior to using SPS\u2019s POS Analytics<\/a>, Pell\u2019s forecasts for retail customers were accurate about 30 percent of the time.<\/p>\n

Its sales staff would routinely call customers to obtain information on product sales and inventory levels. \u2028Today Pell has increased forecasting accuracy to 60 percent or better with accuracy improving every month. Pell Industrial<\/a> manufactures and distributes private label hand tools and related products. Its retail customers include Home Depot, Lowe\u2019s, Menards, and Pep Boys, among others.<\/p>\n

DOWNLOAD THE CASE STUDY<\/a>
\n[\/et_pb_text][et_pb_text disabled_on=”||on” admin_label=”Mobile copy + Pardot resource” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” use_border_color=”off” border_color=”#ffffff” border_style=”solid” saved_tabs=”advanced,css” global_colors_info=”{}”]<\/p>\n

SPS Commerce creates actionable intelligence with Trading Partner Intelligence (TPI)<\/h2>\n

\"PellPrior to using SPS\u2019s POS Analytics<\/a>, Pell\u2019s forecasts for retail customers were accurate about 30 percent of the time.<\/p>\n

Its sales staff would routinely call customers to obtain information on product sales and inventory levels. \u2028Today Pell has increased forecasting accuracy to 60 percent or better with accuracy improving every month. Pell Industrial<\/a> manufactures and distributes private label hand tools and related products. Its retail customers include Home Depot, Lowe\u2019s, Menards, and Pep Boys, among others.<\/p>\n

DOWNLOAD THE CASE STUDY<\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_divider show_divider=”off” disabled_on=”on|on|” admin_label=”Divider” _builder_version=”4.16″ hide_on_mobile=”on” global_colors_info=”{}”] [\/et_pb_divider][et_pb_text disabled_on=”off|off|on” admin_label=”Mobile Sidebar” _builder_version=”4.16″ text_text_color=”#606a6e” text_font_size=”12″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_css_main_element=”border-top: solid 1px #dddddd;” use_border_color=”off” border_color=”#ffffff” border_style=”solid” global_colors_info=”{}”]\"Suppliers\"<\/p>\n

SUPPLIERS<\/strong><\/p>\n

Services: Integrated EDI with QuickBooks<\/a>, Trading Partner Intelligence<\/p>\n

Industry: Hardware<\/p>\n

Trading Partners: Home Depot<\/a>, Lowe\u2019s<\/a>, Menards<\/a>, Pep Boys<\/a> and others
\n[\/et_pb_text][et_pb_text disabled_on=”on|on|” admin_label=”Sidebar” _builder_version=”4.16″ text_text_color=”#606a6e” text_font_size=”12″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_padding=”|||20%” custom_css_main_element=”border-left: solid 1px #dddddd;” use_border_color=”off” border_color=”#ffffff” border_style=”solid” saved_tabs=”advanced,css” global_colors_info=”{}”]\"Suppliers\"<\/p>\n

SUPPLIERS<\/strong><\/p>\n

Services: Integrated EDI with QuickBooks<\/a>, Trading Partner Intelligence<\/p>\n

Industry: Hardware<\/p>\n

Trading Partners: Home Depot<\/a>, Lowe\u2019s<\/a>, Menards<\/a>, Pep Boys<\/a> and others
\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” disabled_on=”off|off|off” admin_label=”Section” _builder_version=”4.16″ background_color=”#f6f6f6″ custom_padding_tablet=”50px|0|50px|0″ transparent_background=”off” padding_mobile=”off” make_fullwidth=”off” use_custom_width=”off” width_unit=”on” global_colors_info=”{}” custom_padding_phone=”50px|0|50px|0″][et_pb_row padding_mobile=”on” column_padding_mobile=”on” disabled_on=”off|off|off” admin_label=”Row” module_class=” et_pb_row_fullwidth” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” width=”89%” width_tablet=”80%” width_last_edited=”on|desktop” max_width=”89%” max_width_tablet=”80%” max_width_last_edited=”on|desktop” custom_padding=”|20px||20px” custom_css_main_element=”background-color:#ffffff;||border: 1px solid #dddddd;” make_fullwidth=”on” use_custom_width=”off” width_unit=”on” global_colors_info=”{}” width_phone=”80%” max_width_phone=”80%”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text admin_label=”More case studies” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” use_border_color=”off” border_color=”#ffffff” border_style=”solid” global_colors_info=”{}”]<\/p>\n

More case studies:<\/h3>\n

[\/et_pb_text][et_pb_portfolio fullwidth=”off” posts_number=”4″ include_categories=”1450″ show_categories=”off” show_pagination=”off” admin_label=”Portfolio” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_css_portfolio_post_meta=”margin-bottom: -350px;” use_border_color=”off” border_color=”#ffffff” border_style=”solid” global_colors_info=”{}”] [\/et_pb_portfolio][et_pb_text disabled_on=”off|off|off” admin_label=”Visit resource center link” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” text_orientation=”right” custom_margin=”-75px|||” custom_margin_tablet=”” custom_margin_phone=”” custom_margin_last_edited=”on|desktop” use_border_color=”off” border_color=”#ffffff” border_style=”solid” locked=”off” global_colors_info=”{}”]Visit the full resource center >><\/a>
\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

Case study: Pell Industrial is improving their forecasting accuracy with help from SPS Commerce SPS Commerce creates actionable intelligence with Trading Partner Intelligence (TPI) Prior to using SPS\u2019s POS Analytics, Pell\u2019s forecasts for retail customers were accurate about 30 percent of the time. Its sales staff would routinely call customers to obtain information on product […]<\/p>\n","protected":false},"author":23,"featured_media":32621,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"project_category":[],"project_tag":[],"class_list":["post-47975","project","type-project","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"\nPOS Data Analysis Case Study (Pell Industrial) | SPS Commerce<\/title>\n<meta name=\"description\" content=\"[Case Study]\" \/>\n<meta name=\"robots\" content=\"noindex, nofollow\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pell Industrial\" \/>\n<meta property=\"og:description\" content=\"[Case Study]\" \/>\n<meta property=\"og:url\" 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