Using Pull Systems to Optimise Work Flows in Call Centres

When call centres emerged towards the end of the 20th century, they deserved their name ?the sweatshops of the nineties?. A new brand of low-paid workers crammed into tiny cubicles to interact with consumers who were still trying to understand the system. Supervisors followed ?scientific management? principles aimed at maximising call-agent activity. When there was sudden surge in incoming calls, systems and customer care fell over.

The flow is nowadays in the opposite direction. Systems borrowed from manufacturing like Kanban, Pull, and Levelling are in place enabling a more customer-oriented approach. In this short article, our focus is on Pull Systems. We discuss what are they, and how they can make modern call centres even better for both sets of stakeholders.

Pull Systems from a Manufacturing Perspective

Manufacturing has traditionally been push-based. Sums are done, demand predicted, raw materials ordered and the machines turned on. Manufacturers send out representatives to obtain orders and push out stock. If the sums turn out wrong inventories rise, and stock holding costs increase. The consumer is on the receiving end again and the accountant is irritable all day long.

Just-in-time thinking has evolved a pull-based approach to manufacturing. This limits inventories to anticipated demand in the time it takes to manufacture more, plus a cushion as a trigger. When the cushion is gone, demand-pull spurs the factory into action. This approach brings us closer to only making what we can sell. The consumer benefits from a lower price and the accountant smiles again.

Are Pull Systems Possible in Dual Call Centres

There are many comments in the public domain regarding the practicality of using lean pull systems to regulate call centre workflow. Critics point to the practical impossibility of limiting the number of incoming callers. They believe a call centre must answer all inbound calls within a target period, or lose its clients to the competition.

In this world-view customers are often the losers. At peak times, operators can seem keen to shrug them off with canned answers. When things are quiet, they languidly explain things to keep their occupancy levels high. But this is not the end of the discussion, because modern call centres do more than just take inbound calls.

Using the Pull System Approach in Dual Call Centres

Most call centre support-desks originally focused are handling technical queries on behalf of a number of clients. When these clients? customers called in, their staff used operator?s guides to help them answer specific queries. Financial models?determined staffing levels and the number of ?man-hours? available daily. Using a manufacturing analogy, they used a push-approach to decide the amount of effort they were going to put out, and that is where they planted their standard.

Since these early 1990 days, advanced telephony on the internet has empowered call centres to provide additional remote services in any country with these networks. They have added sales and marketing to their business models, and increased their revenue through commissions. They have control over activity levels in this part of their business. They have the power to decide how many calls they are going to make, and within reason when they are going to make them.

This dichotomy of being passive regarding incoming traffic on the one hand, and having active control over outgoing calls on the other, opens up the possibility of a partly pull-based lean approach to call centre operation. In this model, a switching mechanism moves dual trained operators between call centre duties and marketing activities, as required by the volume of call centre traffic, thus making a pull system viable in dual call centres.

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Telemetry and the Survival of the Human Species

Without moisture, plants die. Without fodder, the animal food chain collapses. This is why climate change is the greatest threat humankind faces. Crop management needs timely information regarding ambient conditions, and also in the soil itself. In dry areas, online knowledge of trends in rainfall, sunlight, wind speed, leaf moisture, air temperature, relative humidity and solar radiation are indicators of soil stress that can be deadly for plants, and everything that relies on them.

As climate change bites, the need to find solutions accelerates. Drones swoop across to monitor ambient conditions, while probes sunk into plants and the earth in which they grow transmit information to big data repositories for feedback to administrators. In Australia, a remarkable cattle farmer is applying the same approach to his herds.

Nuffield scholar Rob Cook has always been on the edgy side of things. He lost his mobility in a helicopter crash in 2008 patrolling farmland but that has not deterred him. If anything, it has freed his mind to explore the potential that telemetry offers farmers in Australia. He shared this potential with the young beef producers in Roma Australia recently, and here is a summary what he said.

Being wheelchair bound he had to shift from herding with cattle dogs to a more scientific approach. He bought a farm 230 miles / 370 kilometres inland from Brisbane in a warm, temperate climate with significant rainfall even in the driest months. He uses observant software that reports on critical issues like water levels indicating animal consumption, and supplementary water flows from a central irrigation channel.

He also monitors fodder sources for dryer months, and moisture levels in food stocks. Rob is committed to making every blade of grass count. ?We even have the ability to take a photo of the cattle when they are taking a drink of water,? he explains, and that provides valuable information regarding tick and fly infestation and overall condition.

None of this would be possible for Rob Cook without telemetry, which is the process of collecting data at remote points and transmitting it to receiving equipment for analysis. Independent farmers do not have equipment to fund these analytic resources on their own, and use big data resources in a cloud to obtain reports. ecoVaro is on top of current trends. Please speak to us when you need independent advice.

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What is Business Intelligence?

How well do you know your customers? That is, can you actually pinpoint which among them are you most profitable with and which are making you spend more? Are you content with the accuracy of your forecasts and market predictions? Do you feel you’re spending more on legal costs and regulatory compliance than you should?

Your IT department may be handling these concerns pretty well but perhaps you’d like to know how you can further improve things.

What we’ve got is an IT solution wrapped in a fancy name called ‘Business Intelligence’ or BI. If you think that’s too strong a term, we invite you to read more below, then you be the judge.

Dashboards – Determine the health of your business at a glance

Most drivers rarely make use of their car’s dashboard. After all, you can still reach your destination by just using the steering wheel, pedals, gear stick and so on. But that’s not exactly the most efficient way to drive, right?

If you want to save on fuel, you’ll want to glance on the RPM and speedometer from time to time. You might also want to utilise the trip meter to determine which route is the shortest to a given destination. Other dashboard components like the fuel gauge, tire pressure gauge, engine temperature indicator, and volt meter can likewise provide information about your car’s health.

The same concept applies to business management. If you want to run your business intelligently, you can make use of BI dashboards. These are tools in a typical business intelligence package that will allow you to determine the health of your business via a set of smartly configured gauges and other intuitive graphical representations.

So that, literally, at a mere glance, you’ll already know whether various units in your company are working efficiently. A dashboard will also give you instant feedback of the strategies you’ve recently implemented; to let you know if things are working as planned.

If you want more information than a dashboard can provide, our BI packages also include highly customised reports.

Reports that help you decide faster

Dashboards are great for getting valuable information at a glance but they won’t tell you everything. For more details, you’ll need to view highly customised reports. Our reports are tailor made for each user. We see to it that, by default, each person gets the information he needs the most.

If you belong to the sales department, you normally won’t need a presentation of the data that is appropriate for people in accounting. That way, you don’t spend time filtering. Instead, you and your people can move on to making well-informed decisions.

Our BI systems make use of your vast collection of data to provide reports that will organise your regulatory requirements and call your attention to approaching deadlines. The same system will provide the right information for your people on the field. If your team members are equipped with smart phones and Pocket PCs, they can retrieve whatever it is they need to know to close deals, make sales, and serve clients faster than the competition.

Generating logical information from disparate sources of data scattered over an enterprise-wide organisation is no easy task. But we’ll make it look simple. That’s because we’ve got the expertise to bring it all together into a robust data warehouse and to extract them in the form of reports and dashboards through OLAP.

OLAP and Data Warehousing – Powering the generation of actionable information

Want to know how to generate reports with the highest degree of accuracy and reliability? In theory, what you need is a single repository or a data warehouse. That is, order receipts, sales invoices, as well as customer & supplier data is integrated with regulatory details, personnel data, and others. These are all specially organised for future reporting and analysis.

However, data, no matter how all-embracing, is useless until it is processed into actionable information. Through OLAP or Online Analytical Processing, you can seamlessly collect all relevant data from your vast repository to answer queries like “What is our company’s profitability for the 2nd quarter in all identified key cities for our top-of-the-line products?”.

The strength of OLAP lies in its inherent ability to perform data analysis and very complex calculations, thus enabling it to return complex queries much faster than other database technologies. It is therefore suitable for very large data sources, i.e., data warehouses.

Dashboards and reports will only give your organisation the edge if the information retrieved is reliable, fast, and accurate – exactly the kind OLAP is so good at.

Mobile BI – Step back and see the big picture anytime, anywhere

Spreadsheets are great for displaying detailed information. However, in today’s highly competitive market, retrieving information that matters the most in the shortest possible time is vital in maintaining a sizeable lead over the competition. To step back and see the big picture, you’ll need insightful tools like dashboards and automatically generated reports.

Reports can be beamed to mobile devices such as smart phones and Pocket PCs. They can also be viewed on eBook readers as well. You can also do the same tasks with spreadsheets. But imagine how you’d need to scroll over a large spreadsheet on any of these mobile devices just to know which customer in your current location has performed well over the last month.

If you really want to make quick, well-informed decisions, BI dashboards for mobile devices is the way to go. You can make use of various business objects such as drill-able charts, performance metrics, and metric trend graphs to make crucial decisions even when on you’re in the field.

What Heijunka is & How it Smooths Call Centre Production

The Japanese word Heijunka, pronounced hi-JUNE-kuh means ?levelling? in the sense of balancing workflows. It helps lean organizations shift priorities in the face of fluctuating customer demand. The goal is to have the entire operation working at the same pace throughout, by continuously adjusting the balance between predictability, flexibility, and stability to level out demand.

Henry Ford turned the American motor manufacturing industry upside down by mass-producing his iconic black motor cars on two separate production lines. In this photograph, body shells manufactured upstairs come down a ramp and drop onto a procession of cars almost ready to roll in 1913.

Smoothing Production in the Call Centre Industry

Call Centres work best in small teams, each with a supervisor to take over complex conversations. In the past, these tended to operate in silos with each group in semi-isolation representing a different set of clients. Calls came through to operators the instant the previous ones concluded. By the law of averages, inevitably one had more workload than the rest at a particular point in time as per this example.

Modern telecoms technology makes it possible to switch incoming lines to different call centre teams, provided these are multi-skilled. A central operator controls this manually by observing imbalanced workflows on a visual system called a Heijunka Box. The following example comes from a different industry, and highlights how eight teams share uneven demand for six products.

This departure from building handmade automobiles allowed Henry to move his workforce around to eliminate bottlenecks. For example, if rolls of seat leather arrived late he could send extra hands upstairs to speed up the work there, while simultaneously slowing chassis production. Ford had the further advantage of a virtual monopoly in the affordable car market. He made his cars at the rate that suited him best, with waiting lists extending for months.

A Modern, More Flexible Approach

Forces of open competition and the Six Sigma drive for as-close-to-zero defects dictates a more flexible approach, as embodied in this image published by the Six Sigma organisation. This represents an ideal state. In reality, one force usually has greater influence, for example decreasing stability enforces a more flexible approach.

Years ago, Japanese car manufacturer Toyota moved away from batching in favour of a more customer-centric approach, whereby buyers could customise orders from options held in stock for different variations of the same basic model. The most effective approach lies somewhere between Henry Ford?s inflexibility and Toyota?s openness, subject to the circumstances at the moment.

A Worked Factory Example

The following diagram suggests a practical Heijunka application in a factory producing three colours of identical hats. There are two machines for each option, one or both of which may be running. In the event of a large order for say blue hats, the company has the option of shifting some blue raw material to the red and green lines so to have the entire operation working at a similar rate.

Predictability, Flexibility, and Stability at Call Centre Service

The rate of incoming calls is a moving average characterised by spikes in demand. Since the caller has no knowledge whether high activity advisories are genuine, it is important to service them as quickly as possible. Lean process engineering provides technology to facilitate flexibility. Depending on individual circumstances, each call centre may have its own definition of what constitutes an acceptably stable situation.

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