{"id":206,"date":"2020-08-16T14:12:51","date_gmt":"2020-08-16T14:12:51","guid":{"rendered":"https:\/\/ioasolutions.com.my\/?page_id=206"},"modified":"2020-10-11T02:44:19","modified_gmt":"2020-10-11T02:44:19","slug":"channel-clustering","status":"publish","type":"page","link":"https:\/\/ioasolutions.com.my\/?page_id=206","title":{"rendered":"Channel Clustering"},"content":{"rendered":"\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\" style=\"flex-basis:89.9%\">\n<h2 class=\"has-text-align-center\"><strong>Efficiently targeting local consumer preference  <\/strong><\/h2>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-cover alignfull has-background-dim\" style=\"background-color:#e7e8ea;min-height:211px\"><div class=\"wp-block-cover__inner-container\">\n<p class=\"has-text-align-center has-black-color has-text-color\" style=\"font-size:18px\">Pinpointing localized consumer preferences has always been a challenge. While predictive and descriptive intelligence could match plans with local customer requirements, how can companies uncover hidden patterns and trends without drowning in the data or employing an army of analysts?<\/p>\n<\/div><\/div>\n\n\n\n<div style=\"height:23px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<hr class=\"wp-block-separator is-style-default\"\/>\n\n\n\n<div style=\"height:28px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:42% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" width=\"1024\" height=\"984\" src=\"https:\/\/ioasolutions.com.my\/wp-content\/uploads\/2020\/08\/artem-beliaikin-49mCO5ZRQDk-unsplash-Recovered-1024x984.png\" alt=\"\" class=\"wp-image-303\" srcset=\"https:\/\/ioasolutions.com.my\/wp-content\/uploads\/2020\/08\/artem-beliaikin-49mCO5ZRQDk-unsplash-Recovered-1024x984.png 1024w, https:\/\/ioasolutions.com.my\/wp-content\/uploads\/2020\/08\/artem-beliaikin-49mCO5ZRQDk-unsplash-Recovered-300x288.png 300w, https:\/\/ioasolutions.com.my\/wp-content\/uploads\/2020\/08\/artem-beliaikin-49mCO5ZRQDk-unsplash-Recovered-768x738.png 768w, https:\/\/ioasolutions.com.my\/wp-content\/uploads\/2020\/08\/artem-beliaikin-49mCO5ZRQDk-unsplash-Recovered-1536x1476.png 1536w, https:\/\/ioasolutions.com.my\/wp-content\/uploads\/2020\/08\/artem-beliaikin-49mCO5ZRQDk-unsplash-Recovered-2048x1967.png 2048w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<div style=\"height:28px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"has-text-align-left\" style=\"font-size:19px\"><strong>Cluster stores based on key performance indicators<\/strong><\/p>\n\n\n\n<p class=\"has-regular-font-size\">provide a different store clustering for each major category within your store and correlates groups based on driving indicators store attributes, item attributes, store area etc<\/p>\n\n\n\n<p style=\"font-size:19px\"><strong>Deliver localized assortments with Channel Clustering<\/strong><\/p>\n\n\n\n<p class=\"has-regular-font-size\">quickly determine which stores exhibit similar consumer preference patterns for a category, cluster them into store groups and then assort by cluster. By planning assortments for each group with similar product preferences, you\u2019ll reduce unproductive inventory while fulfilling local demands.<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator is-style-dots\"\/>\n\n\n\n<div style=\"height:37px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text alignwide has-media-on-the-right is-stacked-on-mobile\" style=\"grid-template-columns:auto 41%\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" width=\"1024\" height=\"996\" src=\"https:\/\/ioasolutions.com.my\/wp-content\/uploads\/2020\/08\/pexels-hobi-industri-4053267-1024x996.png\" alt=\"\" class=\"wp-image-305\" srcset=\"https:\/\/ioasolutions.com.my\/wp-content\/uploads\/2020\/08\/pexels-hobi-industri-4053267-1024x996.png 1024w, https:\/\/ioasolutions.com.my\/wp-content\/uploads\/2020\/08\/pexels-hobi-industri-4053267-300x292.png 300w, https:\/\/ioasolutions.com.my\/wp-content\/uploads\/2020\/08\/pexels-hobi-industri-4053267-768x747.png 768w, https:\/\/ioasolutions.com.my\/wp-content\/uploads\/2020\/08\/pexels-hobi-industri-4053267-1536x1495.png 1536w, https:\/\/ioasolutions.com.my\/wp-content\/uploads\/2020\/08\/pexels-hobi-industri-4053267-2048x1993.png 2048w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p style=\"font-size:19px\"><strong>Make better category decisions at the shelf and floor<\/strong><\/p>\n\n\n\n<p class=\"has-regular-font-size\">Enables your planners to target preferred local product demand in terms of popularity and shelf inventory. The application also helps to find the optimal number of groups to balance your micro-merchandising goals with your operational costs to save valuable time and money.<\/p>\n\n\n\n<p style=\"font-size:19px\"><strong><strong>Optimize channel planning efforts<\/strong><\/strong><\/p>\n\n\n\n<p class=\"has-regular-font-size\">form unique store groups by product segment (i.e., class, department and category). Plus you can plan by representative group instead of individual stores. You\u2019ll produce the optimum number of plans needed to achieve spot-on merchandising results within every channel.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<\/div><\/div>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"wp-block-cover alignfull has-background-dim\" style=\"background-color:#416188;min-height:720px\"><div class=\"wp-block-cover__inner-container\">\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"has-text-align-center has-huge-font-size\"><em>Key Benefits <\/em><\/p>\n\n\n\n<hr class=\"wp-block-separator is-style-dots\"\/>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\">\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" src=\"https:\/\/ioasolutions.com.my\/wp-content\/uploads\/2020\/10\/icons8-mind-map-80.png\" alt=\"\" class=\"wp-image-575\" width=\"50\" height=\"50\"\/><\/figure><\/div>\n\n\n\n<p class=\"has-text-align-center has-regular-font-size\">Establishes consumer preference patterns based on analysis of historical performance such as category POS transactions or opportunity forecast data<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column\">\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" src=\"https:\/\/ioasolutions.com.my\/wp-content\/uploads\/2020\/10\/icons8-tasks-80.png\" alt=\"\" class=\"wp-image-576\" width=\"40\" height=\"45\"\/><\/figure><\/div>\n\n\n\n<p class=\"has-text-align-center has-regular-font-size\">Draws from any performance measure to drive clustering (units, sales, turns, GMROI, etc.)<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column\">\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img loading=\"lazy\" width=\"48\" height=\"48\" src=\"https:\/\/ioasolutions.com.my\/wp-content\/uploads\/2020\/08\/icons8-goal-48-1.png\" alt=\"\" class=\"wp-image-247\"\/><\/figure><\/div>\n\n\n\n<p class=\"has-text-align-center has-regular-font-size\">Pinpoints driving characteristics within a group, such as size and type of store, volume or type of merchandise sold, customer and item attributes and store trade area<\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\">\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" src=\"https:\/\/ioasolutions.com.my\/wp-content\/uploads\/2020\/10\/icons8-prototype-80.png\" alt=\"\" class=\"wp-image-579\" width=\"42\" height=\"42\"\/><\/figure><\/div>\n\n\n\n<p class=\"has-text-align-center has-regular-font-size\">Supports flexible management of store group outliers and new stores using automated or manual assignment procedures<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column\">\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img loading=\"lazy\" width=\"48\" height=\"48\" src=\"https:\/\/ioasolutions.com.my\/wp-content\/uploads\/2020\/08\/icons8-normal-distribution-histogram-48-1.png\" alt=\"\" class=\"wp-image-246\"\/><\/figure><\/div>\n\n\n\n<p class=\"has-text-align-center has-regular-font-size\">Filters out extreme outliers and other anomalies when establishing preference patterns<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column\">\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img loading=\"lazy\" width=\"48\" height=\"48\" src=\"https:\/\/ioasolutions.com.my\/wp-content\/uploads\/2020\/08\/icons8-collect-48.png\" alt=\"\" class=\"wp-image-250\"\/><\/figure><\/div>\n\n\n\n<p class=\"has-text-align-center has-regular-font-size\">Supports dynamic grouping of store locations based on performance or attribute information<\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Efficiently targeting local consumer preference<\/p>\n","protected":false},"author":1,"featured_media":301,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/ioasolutions.com.my\/index.php?rest_route=\/wp\/v2\/pages\/206"}],"collection":[{"href":"https:\/\/ioasolutions.com.my\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ioasolutions.com.my\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ioasolutions.com.my\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ioasolutions.com.my\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=206"}],"version-history":[{"count":15,"href":"https:\/\/ioasolutions.com.my\/index.php?rest_route=\/wp\/v2\/pages\/206\/revisions"}],"predecessor-version":[{"id":582,"href":"https:\/\/ioasolutions.com.my\/index.php?rest_route=\/wp\/v2\/pages\/206\/revisions\/582"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ioasolutions.com.my\/index.php?rest_route=\/wp\/v2\/media\/301"}],"wp:attachment":[{"href":"https:\/\/ioasolutions.com.my\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=206"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}