Shared Services ? Are They A Good Idea

Things happen fast in business and we need to stay on top. It does not seem long ago that some enterprises were still hands-on traders or artisans with a few youngsters to help out. People like that did not do admin and their accounting was a matter of making sure there was enough money in the jar.

When Wal-Mart’s Sam Walton took over his first shop in 1945 things had moved on from there, although he did still deal directly with his customers. When he died his legacy was 380,000 jobs, and a business larger than most economies. So there?s plenty we can learn from how he grew his business.

One of Sam?s secrets was his capacity to centralise what needed gathering together, while empowering store managers to think independently when it came to local conditions. His regional warehouses had individual outlets clustered around them within one day?s drive each. This shared service eliminated 90% of safety stock and released capital for expansion.

Wal-Mart took sharing services a step further in February 2006, when it centralised accounts payable, accounts receivable, general accounting and human resources administration at Wal-Mart Stores and Sam?s Clubs in the U.S. and Puerto Rico. The objective was to bring costs down, while allowing local managers more time to focus on their business plans and other initiatives. As a further spin-off, Wal-Mart was able to integrate its data on a single SAP platform and eliminate significant roadblocks.

This is an excellent example of sharing services by creating own centres of excellence.? Of course, this is not the only business possibility. Other corporates have successfully completely outsourced their support activities, and Wal-Mart has no doubt had a variety of similar offers too. But, is the Wal-Mart picture entirely rosy, or is there a catch?

The Association of Chartered Certified Accountants has indicated that top talent may be the loser globally. This is because the Wal-Mart model removes many challenges through standardisation, and offers less scope for internal promotion as a result. Language and cultural differences may also have a long-term detrimental effect on the way the departments work well together.

Local outsourcing ? this is the business model where several firms engage a shared service provider independently- may hence prove to be a more malleable option for smaller companies. It often makes more sense to hunt down made-to-order services. Offerings such as the professional support we offer on this site.

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How AI Helps Improve Field Service

Its seems that with the current rate of technological innovation that these is something new every single day.  Therefore, you’re always looking forward to a new technological innovation that’s going to help you make your business operations more efficient and automated.

One of the most fascinating milestones in the field of technology is the integration of Artificial Intelligence (AI) in business. In one way or the other, AI gives a glimpse of machine supremacy that allows computers to perform tasks that were initially performed by humans. 

Are machines going to completely replace people in the workplace?

Of course, not.  Technologies like AI and Machine Learning are designed and meant to support employees in doing their tasks too boost their productivity.

AI is predominantly used to eliminate jobs and tasks that humans find boring, demotivating or monotonous. In some cases AI is also used to do jobs that are considered dangerous for humans to preform.

Previously the most common implementations for AI were all about gaming, entertainment, and advanced science,  now it’s spreading into a number of industries including the field service industry.

FieldElite – Field Service Software , can help you optimise the day-to-day operations of your business.

AI in field service management will enhance you business capabilities with:

  • Information Sharing
  • Real Time Updates
  • Automated Workflows
  • Digital Form Data Collection
  • Data Analysis

Improved Customer Service

For Service Based companies, customer retention is vital. Primarily because It can be 5-25 times more costly to acquire a new customer than it is to retain an existing ones.

Therefore customer retention should be a primary focus.? The good news is that by making use of AI you can implement services It can be 5-25 times more costly to acquire a new customer than it is to retain an existing one.

Staying on top of and ensuring you satisfactorily address and meet you customer demands and expectations can be a daunting task.? It can also be an expensive one,? especially for small field service based businesses like :

  • Heating & Plumbing Engineers
  • Electrical Contractors
  • Fire Safety Inspectors
  • HVAC Engineers
  • Facility Management
  • Building, Construction & Trade

Implementing Artificial Intelligence and Machine Learning to automate mundane and repetitive customer administration tasks will enable your staff to be free to provide additional value added tasks for your customers. Making your customers happier.

?Think about the active Chatbots. You can always get complaints directly from customers and address them right away.??

If at any point the customer is unhappy with your services, they can always raise the issue via the Chatbots. Since the bots contain necessary customer information, you can always get back to them and fix the issue at hand.?

With AI in field service, you can solve problems before they arise, or what is otherwise known as predictive maintenance,? In that way, you’ll have better customer relations because you’ll be able to address your customer concerns before they even become aware of them.

Improved Productivity

Scheduling tasks and managing the workforce isn’t a walk in the park. It goes beyond assigning tasks to your team members in the field and giving them deadlines to meet. Whether it’s a small firm or a big organisation, it’s quite difficult to organise the workforce.?

However, adopting Artificial Intelligence can iron out the difficulties most field organisations face in scheduling and managing tasks. Some years back, most firms relied on human intelligence to dispatch jobs to the right people based on given conditions. This was quite difficult, especially that it wasn’t always successful. But thanks to AI. With field service apps like FieldElite scheduling tasks and managing workforce is only a few clicks away.?

What’s more? There?s no room for error. Therefore, you’ll always match the right people for the job. Again, your team will always get tasks on time. That means, the job completion rate will go up, and hence the workforce becomes more productive.?

Predictive Maintenance

Usually, most business operations are based on ?solve the problem as it occurs?, which is just OK. However, it’s not always safe to wait until a problem occurs so that you solve it. Prevention is better than cure, and that’s why Artificial Intelligence comes handy in Field Service.

Using FieldElite Workforce Management Software , you don’t have to wait until something breaks.? Utilizing AI in field service enables you to proactively address field service needs and prevent unforeseen failures and interruptions.?

The ability to predict field service needs through field service apps like FieldElite enables you to make more accurate forecasts. In this way, resource planning is made easier, and as such, you’ll have smoothly running workflows. Again, by taking care of unforeseen circumstances in advance, you’re flexible enough to take care of the unexpected. And that means the overall productivity of your business will go up.

Job Management

Most field service jobs involve multiple stages that can take several days to complete. In addition to this, more often than not, you have to coordinate lots of equipment and contractors at the same time. All these can’t be achieved solely by human efforts. For more successful outcomes, it’s important to incorporate Artificial Intelligence in your field service operations.?

FieldElite is the field service solution that can help you manage sophisticated tasks. The app is packed with field service management tools that enable you to assign complicated tasks and keep track of your field techs. For long-cycle jobs, FieldElite app enables you to follow up on the activities going on the field to ensure they’re completed.?

With AI, there?s no room for error even when the jobs become more sophisticated.

Data Analysis

?

Field service industry involves lots of data. Some years back, organisations depended on human intelligence to analyse big data. Well, things still worked out, but as a human is to err, the outcome wasn’t always perfect. However, with Artificial Intelligence data analysis, 100% accuracy in data analysis is achievable. Field service solutions like FieldElite provide sophisticated data analytic tools that enable you to crack massive data and offer accurate solutions.?

FieldElite data analytics capabilities give you an insight into what’s not working and what needs to be improved. In that way, you can always address matters arising and take care of the loopholes.?

It’s time to go paperless with field management software like FieldElite if you?d like to make your business more profitable. Apart from improving the productivity of your workforce, incorporating AI in your business increases profitability. If you’re still doing your usual field rounds with a clipboard, it’s time to simplify your task with FieldElite app.?

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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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2015 ESOS Guidelines Chapter 6 – Role of Lead Assessor

The primary role of the lead assessor is to make sure the enterprise?s assessment meets ESOS requirements. Their contribution is mandatory, with the only exception being where 100% of energy consumption received attention in an ISO 50001 that forms the basis of the ESOS report.

How to Find a Lead Assessor

An enterprise subject to ESOS must negotiate with a lead assessor with the necessary specialisms from one of the panels approved by the UK government. This can be a person within the organisation or an third party. If independent, then only one director of the enterprise need countersign the assessment report. If an employee, then two signatures are necessary. Before reaching a decision, consider

  • Whether the person has auditing experience in the sector
  • Whether they are familiar with the technology and the processes
  • Whether they have experience of auditing against a standard

The choice rests on the enterprise itself. The lead assessor performs the appointed role.

The Lead Assessor?s Role

The Lead Assessor?s main job is reviewing an ESOS assessment prepared by others against the standard, and deciding whether it meets the requirements. They may also contribute towards it. Typically their role includes:

  • Checking the calculation for total energy consumption across the entire enterprise
  • Reviewing the process whereby the 90% areas of significant consumption were identified
  • Confirming that certifications are in place for all alternate routes to compliance chosen
  • Checking that the audit reports meet the minimum criteria laid down by the ESOS system

Note: A lead assessor may partly prepare the assessment themselves, or simply verify that others did it correctly.

In the former instance a lead assessor might

  • Determine energy use profiles
  • Identify savings opportunities
  • Calculate savings measures
  • Present audit findings
  • Determine future methodology
  • Define sampling methods
  • Develop audit timetables
  • Establish site visit programs
  • Assemble ESOS information pack

Core Enterprise Responsibilities

The enterprise cannot absolve itself from responsibility for good governance. Accordingly, it remains liable for

  • Ensuring compliance with ESOS requirements
  • Selecting and appointing the lead assessor
  • Drawing attention to previous audit work
  • Agreeing with what the lead assessor does
  • Requesting directors to sign the assessment

The Environment Agency does not provide assessment templates as it believes this reduces the administrative burden on the enterprises it serves.

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