{"id":9101,"date":"2020-06-26T13:37:06","date_gmt":"2020-06-26T12:37:06","guid":{"rendered":"\/gb\/en\/blog\/?p=9101"},"modified":"2023-01-17T10:26:05","modified_gmt":"2023-01-17T10:26:05","slug":"part-8-call-centre-trends-forecasting-workforce-management","status":"publish","type":"post","link":"\/gb\/en\/blog\/part-8-call-centre-trends-forecasting-workforce-management\/","title":{"rendered":"Part 8: Call Centre Trends: Forecasting &#038; Workforce Management"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">A common refrain in our series on contact centres has been that they are \u201cpeople businesses\u201d. The critical element of any centre\u2019s operations is the interaction between agents and customers. In a very real sense, a centre\u2019s workers are the organisation\u2019s most precious resource.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As with all valuable resources, those workers must be <\/span><a href=\"\/gb\/en\/blog\/manage-remote-contact-centre-agents\/\"><span style=\"font-weight: 400;\">managed and handled effectively<\/span><\/a><span style=\"font-weight: 400;\">. There\u2019s an entire strand of the operations of any call centre devoted to this. Forecasting and workforce management (WFM) are the two principal elements in that area.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This post is going to take a closer look at forecasting and WFM in the <a href=\"https:\/\/www.ringcentral.com\/gb\/en\/contact-centre\/overview.html\">contact centre<\/a> niche. Read on, and you\u2019ll learn what forecasting is all about and how it helps centres tailor their workforce. We\u2019ll also go on to discuss some of the most common forecasting techniques. As well as the vital KPIs and metrics associated with them.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/p>\n<h2><strong>What is Forecasting in the Context of Contact Centres?<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">Hear the word \u201cforecasting\u201d, and your first thought might be for the five minutes at the end of the nightly news. Just as a weather forecast is about making predictions, so too is forecasting in call centres. The only thing that changes is what\u2019s getting predicted.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For contact centres, what managers and agents need to know is the volume of contacts to expect at any given time. To deliver a superior level of <\/span><a href=\"\/gb\/en\/blog\/10-tips-to-remember-in-customer-service\/\"><span style=\"font-weight: 400;\">service to customers<\/span><\/a><span style=\"font-weight: 400;\">, a contact centre has to plan ahead. Forecasted contact volumes are the building blocks of effective planning.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The importance of forecasting stems from how it aids a centre to balance high-quality service and cost-efficiency. How essential forecasting is in that regard is evident once you get to grips with its connection to WFM.\u00a0\u00a0\u00a0<\/span><\/p>\n<h2><strong>Demand &amp; Supply \u2013 The Relationship Between Forecasting &amp; WFM<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">In many types of business, supply and demand is an essential concept. In retail, companies must have the right amount of stock to meet consumers\u2019 needs. They must, though, avoid having too much inventory as that can raise their costs unnecessarily. Things are broadly similar in the call centre industry.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A contact centre supplies advice and solutions in the place of retail goods. They must meet customer demands for that assistance. The higher the demand, the higher the call volume the centre will receive.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Rather than increasing stock levels, a centre meets increased demand by having more working agents. Having too many advisors active, though, damages an organisation\u2019s bottom line. No business wants to be paying workers who don\u2019t have enough work to keep them busy.<\/span><\/p>\n<p><img decoding=\"async\" class=\"aligncenter wp-image-9102 size-full\" src=\"\/gb\/en\/blog\/wp-content\/uploads\/2020\/04\/call-centre-trends-forecasting-and-workforce-management-31-1.jpg\" alt=\"Part 8: Call Centre Trends: Forecasting &amp; Workforce Management-78\" width=\"1000\" height=\"649\" srcset=\"\/gb\/en\/blog\/wp-content\/uploads\/2020\/04\/call-centre-trends-forecasting-and-workforce-management-31-1.jpg 1000w, \/gb\/en\/blog\/wp-content\/uploads\/2020\/04\/call-centre-trends-forecasting-and-workforce-management-31-1-300x195.jpg 300w, \/gb\/en\/blog\/wp-content\/uploads\/2020\/04\/call-centre-trends-forecasting-and-workforce-management-31-1-640x415.jpg 640w, \/gb\/en\/blog\/wp-content\/uploads\/2020\/04\/call-centre-trends-forecasting-and-workforce-management-31-1-768x498.jpg 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/p>\n<p style=\"text-align: center;\"><b>Source: <\/b><a href=\"https:\/\/www.callcentrehelper.com\/ask-the-expert-excel-masterclass-designing-a-better-forecasting-spreadsheet-83521.htm\"><span style=\"font-weight: 400;\">Call Centre Helper<\/span><\/a><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">FM Outsource explained how \u201clabour flexibility\u201d was crucial to the firm\u2019s success. The business has both on-premises and home-based agents. They also have advisors who work core hours, but can add working time to those flexibly. Getting their forecasting right is the only way to know how to manage the workforce best.\u00a0\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">All centres must get as good an idea as they can of the demand which their supply must satisfy. Factors that have to get considered when forecasting include:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Historical contact volumes<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Patterns and trends of contacts over time<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Typical seasonal fluctuations<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Holidays, events, and occurrences that can impact contact volumes. These could be specific to a business, a country, or even global.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">As you\u2019ll have gathered, building accurate forecasts and robust models takes time. It\u2019s also a process that requires a high volume of reliable data. Contact centre operators have many pulls on their time. They often struggle to give forecasting the attention it deserves. That\u2019s at least according to a recent <\/span><a href=\"https:\/\/www.callcentrehelper.com\/images\/reports\/callcentrehelper-what-contact-centres-doing-2018-survey-181112.pdf\"><span style=\"font-weight: 400;\">Call Centre Helper survey<\/span><\/a><span style=\"font-weight: 400;\">:<\/span><\/p>\n<p><img decoding=\"async\" class=\"aligncenter wp-image-9103 size-full\" src=\"\/gb\/en\/blog\/wp-content\/uploads\/2020\/04\/call-centre-trends-forecasting-and-workforce-management-4-2.jpg\" alt=\"Part 8: Call Centre Trends: Forecasting &amp; Workforce Management-242\" width=\"1000\" height=\"625\" srcset=\"\/gb\/en\/blog\/wp-content\/uploads\/2020\/04\/call-centre-trends-forecasting-and-workforce-management-4-2.jpg 1000w, \/gb\/en\/blog\/wp-content\/uploads\/2020\/04\/call-centre-trends-forecasting-and-workforce-management-4-2-300x188.jpg 300w, \/gb\/en\/blog\/wp-content\/uploads\/2020\/04\/call-centre-trends-forecasting-and-workforce-management-4-2-640x400.jpg 640w, \/gb\/en\/blog\/wp-content\/uploads\/2020\/04\/call-centre-trends-forecasting-and-workforce-management-4-2-768x480.jpg 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/p>\n<p style=\"text-align: center;\"><b>Source: <\/b><a href=\"https:\/\/www.callcentrehelper.com\/images\/reports\/callcentrehelper-what-contact-centres-doing-2018-survey-181112.pdf\"><span style=\"font-weight: 400;\">Call Centre Helper<\/span><\/a><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">More than 44% of respondents reported the time taken to forecast as a major challenge in the area. Almost as many cited difficulty forecasting for multiple channels as a problem. Those hurdles &#8211; and many others &#8211; are why centres need to find smart solutions. It&#8217;s why they look to different processes and techniques to make forecasting easier.\u00a0\u00a0<\/span><\/p>\n<h2><strong>Techniques Contact Centres Use for Forecasting &amp; WFM<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">Modern software solutions let contact centres capture a lot of data. That includes details about calls and contacts via other channels. Jack and Charlotte at FM Outsource told us that they use hourly data to forecast demand. They also revealed that their centres get more complex data from their clients every week. That data, though, is no use by itself.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Centres must find the best way to use it for forecasting. There are presently three leading techniques used across the industry:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Triple exponential smoothing (sometimes called the Holt Winters Technique)<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Auto regressive integrated moving average (ARIMA)<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Neural networks<\/span><\/li>\n<\/ul>\n<h3><strong>Triple Exponential Smoothing<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">Exponential smoothing is a statistical technique to reach more accurate forecasts from data. You take as many data sets from previous periods (weeks, months, years, etc.) as you desire. You then use that data to predict the next period but give greater weight to the most recent data.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Take the example of call volumes. If you have data on calls for the past three weeks, an exponential smoothing formula may look like this:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">NEXT WEEK\u2019S VOLUME = \u00bd OF LAST WEEK\u2019S VOLUME + \u00bc OF VOLUME FROM 2 WEEKS AGO + 1\/8 OF VOLUME FROM 3 WEEKS AGO<\/span><\/p>\n<p><span style=\"font-weight: 400;\">That\u2019s a simple example, but shows the general idea of exponential smoothing. In contact centre forecasting, it\u2019s not only contact volumes that must get accounted for. That\u2019s where the \u201ctriple\u201d part of triple exponential smoothing comes in.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">With triple exponential forecasting, three components of the data get considered:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Level \u2013 the pure volumes of contacts\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Trend \u2013 how volumes have increased or decreased from period to period<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Seasonality \u2013 Impact which the time of year has on volumes\u00a0<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">All three aspects of the available data get smoothed exponentially. That helps centres get the kind of accurate forecasts they need. In general, though, this forecasting technique is better for the longer term. It\u2019s not as useful for day-by-day predictions.\u00a0<\/span><\/p>\n<h3><strong>ARIMA<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">ARIMA has gained popularity as a forecasting method in the past decade. That\u2019s since the Office for National Statistics (ONS), adopted it as their technique of choice in 2007. ARIMA is more complicated than triple exponential smoothing. It\u2019s not worth getting into the nitty-gritty of the statistics here.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">What\u2019s important to note about ARIMA is how it uses historical data. ARIMA models for forecasting \u201cexplain\u201d present data sets based on past values (i.e., from a year or more ago). Comparing data with that from prior periods smooths it out to make forecasts more accurate.\u00a0\u00a0<\/span><\/p>\n<h3><strong>Neural Networks<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">As you may know, <\/span><a href=\"\/gb\/en\/blog\/artificial-intelligence-vs-machine-learning-vs-deep-learning\/\"><span style=\"font-weight: 400;\">AI is having a major impact<\/span><\/a><span style=\"font-weight: 400;\"> on business practices. Contact centre forecasting is no exception. Neural networks are AI-powered \u201cmachines\u201d. They mimic the structure of neurons in the human brain. The kind of processing power that lets them wield makes them ideal for forecasting.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A neural network can process vast amounts of data from many inputs. The more data a network receives, the more accurately it can identify patterns and trends in that data. It can then develop accurate forecasts for the future.\u00a0<\/span><\/p>\n<p><img decoding=\"async\" class=\"aligncenter wp-image-9104 size-full\" src=\"\/gb\/en\/blog\/wp-content\/uploads\/2020\/04\/call-centre-trends-forecasting-and-workforce-management-11-1.jpg\" alt=\"Part 8: Call Centre Trends: Forecasting &amp; Workforce Management-123\" width=\"1000\" height=\"375\" srcset=\"\/gb\/en\/blog\/wp-content\/uploads\/2020\/04\/call-centre-trends-forecasting-and-workforce-management-11-1.jpg 1000w, \/gb\/en\/blog\/wp-content\/uploads\/2020\/04\/call-centre-trends-forecasting-and-workforce-management-11-1-300x113.jpg 300w, \/gb\/en\/blog\/wp-content\/uploads\/2020\/04\/call-centre-trends-forecasting-and-workforce-management-11-1-640x240.jpg 640w, \/gb\/en\/blog\/wp-content\/uploads\/2020\/04\/call-centre-trends-forecasting-and-workforce-management-11-1-768x288.jpg 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/p>\n<p style=\"text-align: center;\"><b>Source: <\/b><a href=\"https:\/\/1fykyq3mdn5r21tpna3wkdyi-wpengine.netdna-ssl.com\/wp-content\/uploads\/2017\/09\/Header.png\"><span style=\"font-weight: 400;\">Uber<\/span><\/a><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The intelligence of neural networks helps them to cope with the nuances of centre data. For example, they can recognise and account for the impacts of special days. They can also factor in marketing activity and other external inputs.\u00a0\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Call centre operators aren\u2019t statistics professors. They don\u2019t knock out some exponential smoothing over their morning coffee. Centres employ equipment to help handle their forecasting. According to a <\/span><a href=\"https:\/\/www.callcentrehelper.com\/images\/reports\/callcentrehelper-what-contact-centres-doing-2018-survey-181112.pdf\"><span style=\"font-weight: 400;\">2018 Call Centre Helper study<\/span><\/a><span style=\"font-weight: 400;\">, what they use isn\u2019t all that advanced.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A surprising 66.4% of centres used spreadsheets for WFM, while over 10% used a pen and paper. With that lower level of technicality, operators also must consider other factors. They need to understand key performance indicators (KPIs) and metrics crucial to forecasting.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/p>\n<h2><strong>KPIs &amp; Metrics Crucial to Forecasting &amp; WFM\u00a0<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">When we spoke to FM Outsource, Jack told us that the firm\u2019s forecasting combined two elements. For the best WFM, FM Outsource focuses on \u201cefficiency\u201d and on \u201cquality\u201d. That\u2019s an attitude typical across the niche.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Contact centres schedule staff to deliver on <\/span><a href=\"\/gb\/en\/blog\/customer-satisfaction-core-metric\/\"><span style=\"font-weight: 400;\">customer satisfaction<\/span><\/a> <i><span style=\"font-weight: 400;\">and <\/span><\/i><span style=\"font-weight: 400;\">be as efficient as possible. To that end, there are several critical KPIs and metrics that operators track and focus upon.<\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><b>Service Level \u2013 <span style=\"font-weight: 400;\">The targeted level of service any contact centre wishes to deliver. Most often, this gets defined as the number or percentage of contacts resolved with a given time.<\/span><\/b><\/li>\n<\/ul>\n<ul>\n<li><strong>Average Handling Time (AHT)<\/strong> \u2013 <span style=\"font-weight: 400;\">The mean time it takes to resolve the entirety of a customer contact. AHT comprises the time it takes a customer to reach you, how long gets spent solving their problem and any post-contact processing.\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li><strong><a href=\"\/gb\/en\/blog\/definitions\/schedule-adherence\/\">Schedule Adherence<\/a><\/strong> \u2013 <span style=\"font-weight: 400;\">The percentage of time an agent spends working out of the total time they\u2019re scheduled to do so. Lower adherence means an advisor is not as efficient or productive as they could be.\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li><strong>Cost per Contact<\/strong> \u2013 <span style=\"font-weight: 400;\">How much a centre spends for each contact with a customer. Wages and operating expenses combine to account for the total cost per contact. Efficient WFM is marked out by a lower cost per contact.\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li><strong>Attrition<\/strong> \u2013 <span style=\"font-weight: 400;\">The rate at which a centre loses employees. That may be through termination, resignation, or retirement. Attrition is a metric that\u2019s vital to any centre\u2019s long-term staffing. Staff lost through attrition must get replaced with new on-site or <\/span><a href=\"\/gb\/en\/blog\/5-benefits-hiring-remote-call-centre-agents\/\"><span style=\"font-weight: 400;\">remote agents<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/li>\n<\/ul>\n<p>Forecast Accuracy \u2013 <span style=\"font-weight: 400;\">How close a centre\u2019s predictions of contact volumes are to reality. Forecast accuracy is crucial to monitoring and improving forecasting models. Not all centres can achieve optimal levels of forecast accuracy:<img decoding=\"async\" class=\"aligncenter wp-image-9105 size-full\" src=\"\/gb\/en\/blog\/wp-content\/uploads\/2020\/04\/call-centre-trends-forecasting-and-workforce-management-21-1.jpg\" alt=\"Part 8: Call Centre Trends: Forecasting &amp; Workforce Management-175\" width=\"1000\" height=\"558\" srcset=\"\/gb\/en\/blog\/wp-content\/uploads\/2020\/04\/call-centre-trends-forecasting-and-workforce-management-21-1.jpg 1000w, \/gb\/en\/blog\/wp-content\/uploads\/2020\/04\/call-centre-trends-forecasting-and-workforce-management-21-1-300x167.jpg 300w, \/gb\/en\/blog\/wp-content\/uploads\/2020\/04\/call-centre-trends-forecasting-and-workforce-management-21-1-640x357.jpg 640w, \/gb\/en\/blog\/wp-content\/uploads\/2020\/04\/call-centre-trends-forecasting-and-workforce-management-21-1-768x429.jpg 768w, \/gb\/en\/blog\/wp-content\/uploads\/2020\/04\/call-centre-trends-forecasting-and-workforce-management-21-1-250x140.jpg 250w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/span><\/p>\n<p style=\"text-align: center;\">Source: <span style=\"font-weight: 400;\">\u00a0<\/span><a href=\"https:\/\/www.callcentrehelper.com\/images\/reports\/callcentrehelper-what-contact-centres-doing-2018-survey-181112.pdf\"><span style=\"font-weight: 400;\">Call Centre Helper<\/span><\/a><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<h2><strong>Unforeseeable Circumstances \u2013 Coronavirus &amp; Forecasting<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">So far, we\u2019ve discussed forecasting in \u201cnormal\u201d circumstances. WFM in contact centres is about making sense of data and trends within it, to predict demand. That way, operators can be as sure as possible that they can deliver the level of service they want. There are some unforeseeable circumstances, though, that blow all forecasting out of the water.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In 2020, the world is grappling with a Coronavirus crisis. The implications of the outbreak are incredibly far-reaching. Aside from the human cost and suffering, the illness will also have profound cultural and <\/span><a href=\"https:\/\/www.mckinsey.com\/business-functions\/risk\/our-insights\/covid-19-implications-for-business\"><span style=\"font-weight: 400;\">commercial impacts<\/span><\/a><span style=\"font-weight: 400;\">. Many companies will close, and consumer interaction with all brands is sure to change. Precisely how it will evolve, though, is impossible to predict. When present circumstances are unprecedented, accurate forecasting is simply impossible.\u00a0<\/span><\/p>\n<h2><strong>Forecasting With Accuracy \u2013 A Key Challenge for Contact Centres<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">Contact centres are \u201cpeople businesses\u201d. The core of centre operations comprises the interactions between customers and agents. The demand of customers for the support a centre provides can fluctuate. Operators must ensure their \u201csupply\u201d of advisors is flexible to account for fluctuations.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Scheduling and hiring agents to meet demand is called workforce management (WFM). The only way to achieve effective WFM is with accurate forecasting of contact volume. That\u2019s why such forecasting is so crucial.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Call centres use a variety of techniques for forecasting. Those techniques use varied data to make complex predictions. Contact centres focus on efficiency, quality, and other KPIs. That\u2019s how they track and manage their forecasting.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A common refrain in our series on contact centres has been that they are \u201cpeople businesses\u201d. The critical element of any centre\u2019s operations is the interaction between agents and customers. &hellip; <a href=\"\/gb\/en\/blog\/part-8-call-centre-trends-forecasting-workforce-management\/\" class=\"more-link\">Read more<span class=\"screen-reader-text\"> &#8220;Part 8: Call Centre Trends: Forecasting &#038; Workforce Management&#8221;<\/span><\/a><\/p>\n","protected":false},"author":244,"featured_media":10718,"comment_status":"open","ping_status":"closed","sticky":false,"template":"single-blog-series.php","format":"standard","meta":{"footnotes":""},"categories":[15],"tags":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Part 8: Call Centre Trends: Forecasting &#038; Workforce Management | RingCentral UK Blog<\/title>\n<meta name=\"description\" content=\"This post is going to take a closer look at forecasting and WFM in the contact centre niche.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ringcentral.com\/gb\/en\/blog\/part-8-call-centre-trends-forecasting-workforce-management\/\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"RingCentral Team\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"9 minutes\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Part 8: Call Centre Trends: Forecasting &#038; Workforce Management | RingCentral UK Blog","description":"This post is going to take a closer look at forecasting and WFM in the contact centre niche.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.ringcentral.com\/gb\/en\/blog\/part-8-call-centre-trends-forecasting-workforce-management\/","twitter_misc":{"Written by":"RingCentral Team","Est. reading time":"9 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":":\/gb\/en\/blog\/part-8-call-centre-trends-forecasting-workforce-management\/#article","isPartOf":{"@id":"\/gb\/en\/blog\/part-8-call-centre-trends-forecasting-workforce-management\/"},"author":{"name":"RingCentral Team","@id":"\/gb\/en\/blog\/#\/schema\/person\/cc4f043d2b478862a8622c28b0ebd08c"},"headline":"Part 8: Call Centre Trends: Forecasting &#038; Workforce Management","datePublished":"2020-06-26T12:37:06+00:00","dateModified":"2023-01-17T10:26:05+00:00","mainEntityOfPage":{"@id":"\/gb\/en\/blog\/part-8-call-centre-trends-forecasting-workforce-management\/"},"wordCount":1857,"commentCount":0,"publisher":{"@id":"\/gb\/en\/blog\/#organization"},"articleSection":["Contact Centre"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":[":\/gb\/en\/blog\/part-8-call-centre-trends-forecasting-workforce-management\/#respond"]}]},{"@type":"WebPage","@id":"\/gb\/en\/blog\/part-8-call-centre-trends-forecasting-workforce-management\/","url":":\/gb\/en\/blog\/part-8-call-centre-trends-forecasting-workforce-management\/","name":"Part 8: Call Centre Trends: Forecasting &#038; 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