ARCHIVE FOR THE ‘wrokforce-management’ CATEGORY

Artificial Intelligence has increasingly become a key discussion in all industries and its impact in field service management is predicted to be hugely significant, but how should field service organisations leverage this powerful twenty-first-century technology? In the first of a two-part feature, Marne Martin, President Service Management IFS, offers her expert insight... 

 

 

---

Is AI a key topic for you?! There is a full white paper on this topic available to fieldservicenews.com subscribers. Click the button below to get fully up to speed!

---

Sponsored by: 

 

 

---

Data usage note: By accessing this content you consent to the contact details submitted when you registered as a subscriber to fieldservicenews.com to be shared with the listed sponsor of this premium content who may contact you for legitimate business reasons to discuss the content of this content.  

---

 

Artificial Intelligence (AI) will impact every industry and every business discipline—including field service management. But how quickly will practical solutions be available that enable the typical medium to large field service organization to take advantage of AI? And by practical solutions, I mean AI that delivers knowledge efficiently, processes solutions to complex data sets, and automates repetitive activities to allow human workers to focus on personalized service, solving complex problems and escalations, i.e. what people do best.

In some cases, these easily applied solutions are still on their way to market. In three specific areas, however, practical AI applications for field service are already commercially available as proven, commercial off-the-shelf software delivering real business value.

 

AI For Customer Interaction

First impressions matter. And unfortunately, the first interaction a customer has with your service organization often involves several missteps. Chief among these are long wait times on hold due to high call volumes. And then, as a customer attempts to reach out through multiple channels including email, chat and phone, the resulting data stream goes into separate siloes that are disconnected from each other, resulting in disjointed communication.

 

"Today, AI solutions can solve both these problems, but it requires more than “just” chatbots..."

 

Today, AI solutions can solve both these problems, but it requires more than “just” chatbots. Commercially available AI software that ties into chatbots is capable of learning which answers posed in a chat are appropriate for each question and automating a significant majority of chat interactions. A chatbot can be taught to answer commonly encountered questions, like inquiries about when a technician is scheduled to arrive. Of course, at some point, the AI chatbot may get stuck when personalized service is required, and a human agent takes over the discussion thread without missing a beat. This should be seamless not only to the customer but for the internal customer service, ticketing and support systems as well. The chatbot—regardless of whether driven at a given moment by AI or a human agent—should update the same customer record as other channels including social media, phone and email.

And from interactions, the AI functionality learns from answers provided by human agents and gets better and better at answering questions through learning processes. A truly advanced AI chatbot will also seamlessly hand off the chat to a human agent when the extent of its learning is overtaken. Only then can the entire customer experience be unified and consistent, even with a static number of agents handling a rapidly growing fluctuating volume of customer interactions.

AI-based chatbots, for instance, can enable a good agent to handle up to five or more chats at a time. It can capture Facebook messages and tweets and direct them to an agent or to AI for intervention. AI alone can handle, typically, between 50 and 60 percent of requests, freeing up human capacity or lowering staffing levels required to handle a given volume of activity.

 

Enables Management By Exception

In the case of AI applications for the service organization, a primary driver for ROI is that it enables humans to manage by exception. A high volume of activity can be automated, and humans intervene primarily when a situation falls outside the business rules or logic built into service management software. AI doesn’t eliminate the need for human interaction—it makes the human interaction more focused on what humans do best—handle escalations and complex decision making for unique cases.

At one IFS customer, an AI chatbot handles about 50 percent of interactions— primarily those reaching out to cancel their service after a free three-month trial period. Interactions cancelling a free subscription are handled entirely through automation. But if a longer-standing customer is cancelling their service, the interaction gets routed to an agent dedicated to saving the account.

Some interactions are by default easily handled by AI. If 30 percent of inbound contacts are requesting information on the arrival time of a field service technician, it may be possible to automate 90 percent of that 30 percent of contacts. But it is also important to consider the demographics of the customer base. Millennials are more likely to communicate via chat or social media, so if a significant percentage of customers are under 40, heavier reliance on chatbots and AI may help you increase engagement by streamlining your customers’ preferred method of interaction.

 

"Management by exception is also more successful when an AI application has access to extensive information about each customer..."

 

Management by exception is also more successful when an AI application has access to extensive information about each customer. So full integration with enterprise resource planning, field service management and other enterprise tools is essential. AI tools can be more effective if they have more rather than less information on the status of the customer’s account, including their maintenance or service history and warranty or service level agreement entitlements.

Integration between an AI chatbot, email, voice, social and enterprise applications is important for another reason. It enables one version of the customer record. Lacking this, a customer can send an email, and get no response. They send a direct message through Twitter. Then call and sit on hold. Then initiate a chat. All these interactions may not appear in a central customer record, but there have been three attempts to contact the company. Right from the first contact by email, the clock started ticking on a service level agreement.

Full integration can also enable a customer service team, once a customer request is resolved, to close off all queuing activations at the same time for the various contact methods associated with a customer case. Failing this, a service organization may spend a significant amount of time chasing customer requests that have already been resolved.

 

---

Want to know more? There is a full white paper on this topic available to fieldservicenews.com subscribers. Click the button below to access it instantly...

---

Sponsored by: 

 

 

---

Data usage note: By accessing this content you consent to the contact details submitted when you registered as a subscriber to fieldservicenews.com to be shared with the listed sponsor of this premium content who may contact you for legitimate business reasons to discuss the content of this content.  

---

 Be social and share... 

Web programmers and business managers across the United Kingdom will be able to integrate online applications faster and easier than previously possible thanks to a new API product released by global job management company simPRO.

simPRO’s ‘RESTful API’ product was developed as a software interfacing tool which allows various systems to connect and communicate with a new sense of efficiency, strengthening the bridge between simPRO and other platforms which may be used in the workforce.

An Application Programming Interface, or API, is broadly defined as software that allows two applications to talk to each other, acting as a messenger to allow third-party developers to retrieve and insert specified data into that application.

The simPRO API allows for seamless integration of data between it and other business software platforms.

simPRO Chief Technology Officer Jonathan Eastgate said the simPRO RESTful API would ultimately lead to better software integrations and an overall increase inconvenience for businesses.

“simPRO’s new API is a technical step forward, but its functions are good for users because external applications can be created to move data between simPRO and different applications,” he said.

“With the API you can now create integrations that connect simPRO to mailing and accounting systems, ecommerce, business websites, smartphone and tablet apps and document management systems.

“Thanks to simPRO RESTful API, businesses are able to integrate simPRO and third party applications easier than ever before.

“That’s what we strive to do at simPRO – removing time and complexity from modern necessities like program integration and online product use. We want to empower our partners in the United Kingdom to build valuable businesses around the information flowing through simPRO.

“simPRO’s new API systems will assist in managing workflows and improving efficiencies for thousands of trade service businesses,” Mr Eastgate said.

simPRO’s RESTful API was designed to be up to date with industry standards and features a Developer Centre where users can receive support through a dedicated forum and access assistance resource like code examples and program walkthroughs.

The new API will be made available world-wide upon release and be functional through simPRO’s Service and Enterprise range, making it accessible for a diverse range of users throughout the trade service industry.

---

 

Be social and share...