Select Page

Integrating Service Desk functions in Salesforce

Nov 18, 2014 | Admin, Data Integration, Latest News, Sales Cloud, Service Cloud

If you have a company that has to interact heavily with customers via a service desk, it helps to integrate some of these functions with Salesforce in order to make your life easier. Here are a few tools that can help you combine service desk functions with Salesforce.

CronSights

This tool uses time metrics in order to figure out information about all users that use the service desk you’re using. It can also give advice on exactly how to improve your operations so that handle times go by faster, performance improves, and so that you get better customer satisfaction.

In particular you can track cases and actions in order to figure out where the bottlenecks are. Having a long wait time for customer service can be a serious problem for your business, so this tool can go a long way to helping you figure out how to get those wait times down.

Desk.com for Salesforce

This tool allows you to integrate your Salesforce information with  Desk.com in order to connect your sales teams and support teams together.  This way you can get a complete and detailed sense of what your customers need and how your company has bene interacting with each of them.

You can also use Chatter updates to keep employees from all sections in the know about support cases.  The tool allows you to search through Contact or Account information about Salesforce in Desk.com, and send leads you have on Desk.com over to your Salesforce account. You can start Salesforce support cases for Desk.com customers as well.

For more information about customer service functions in Salesforce, please contact us.

0 Comments

Submit a Comment

Authors

Simplus logo
Simplus team
 |  + posts
Your Quote-to-Cash Process Has 14 Handoffs. It Should Have Zero 

Your Quote-to-Cash Process Has 14 Handoffs. It Should Have Zero 

At Simplus, we’ve implemented Revenue Cloud Advanced across financial services organizations navigating exactly this transition. The pattern is consistent: unify the revenue data, get the platform right, and the AI use cases that felt out of reach become the next logical step. 

Stop Blaming Your Sales Team. Blame Your Tech Stack

Stop Blaming Your Sales Team. Blame Your Tech Stack

After working through dozens of enterprise Salesforce implementations across financial services, high tech, and energy, the reason is almost always the same: organizations are building AI strategies on top of broken revenue data.