Three unique ways Sapho uses machine learning to increase productivity

In today’s world, the pace of change and growth in both business and society is accelerating. And the way we define work and how we accomplish it is no exception. From treadmill desks and yoga-ball chairs to the types of software we use – the way we work is constantly changing to fine-tune our productivity and increase our effectiveness on the job. A new way of doing business has arrived, and it’s become clear that employees crave tools and strategies to help them filter through the deluge of data and get their work done quickly.

Delivering intelligence in apps wasn’t always possible for businesses due to costs and complexity, but times are changing. Gartner estimates that almost half of large enterprises are experimenting with “smart computing” and machine learning projects, and arguably no technology has generated more buzz in the past year than machine learning. We’ve seen Fin enter the market to help keep you organized and schedule your meetings, while the tech giants like Google, IBM, and Microsoft have released machine learning tools like TensorFlow, SystemML, and the Distributed Machine Learning ToolKit.

Sapho uses machine learning to surface relevant insights, enhance existing workflows, and streamline processes. The application of machine learning to micro apps helps employees make better decisions, while alleviating some of the grunt work that goes into manual tasks like pulling data or news monitoring.

Here are three unique ways that customers are using Sapho machine learning to increase productivity and be more effective as an organization:

Surface important updates or events

Our research shows that most employees delay completing a task because they don’t know how to pull data or use a given system, or they simply lose track of all their logins and passwords for the multiple systems. Sapho micro apps deliver actionable insights and tasks directly into a Facebook-like feed, enabling one-click task completion through various channels and devices. This allows employees to take action right from their feed without having to sign into multiple systems or waste time chasing down the data they need to make smart business decisions.

In addition to a consumer-like experience, Sapho uses machine learning to surface important relevant events or spikes in activity to enhance departmental productivity. Just like Facebook might update you about a topic that five of your friends are interested in, micro apps can be set up to surface recent POs or products that may be affected due to supply chain issues.

Just like Facebook, employees can choose to mute notifications that are not relevant to their work and over time, Sapho will recognize which updates and tasks are more urgent or relevant and will surface them automatically to an employee’s feed.

Personalized dashboards

Using web services, Sapho connects directly to the underlying data of existing sales software and dashboards in business intelligence apps like Cognos, Microsoft PowerBI, and Tableau. While Sapho app builders can select the data from existing dashboards that are relevant to different types of users and surface the information that matters most, individual users can further personalize what information or KPIs are most relevant to their roles. For example, a C-level executive may want to monitor the overall sales pipeline, while a sales lead in California may want to only see quarter-over-quarter results for his region specifically.

Using Sapho, existing systems, such as sales software, can be modernized to leverage machine learning without having to be ripped out and replaced. Sapho micro apps help companies monitor data and predict which information is most relevant to employees, making it easy to identify trends in data without disrupting current business processes and workflows.

One-click approvals and simple expense reports

Sapho learns users’ preferences with machine learning in order to surface the most relevant tasks and updates to employees. For example, if a VP of Marketing always approves expense reports under $100, the system will take note and provide guidance in the app to help the manager make the decision. Some of the most time-consuming tasks are data pulls and expense-report approvals. When important tasks like these can be pushed to feeds of the relevant stakeholders automatically, they can be completed quickly instead of sitting for weeks without a decision.   

Sapho can create custom workflows that notify all applicable departments of new actions that are required from them so that employees are kept up to date. Expense reports and PO processes can be streamlined as Sapho learns the individual needs of an employee. For example, dashboards can be created for finance or HR to monitor pending or missing items by department so that expenses can be submitted, approved and paid in a timely manner. 

Machine learning has the power to help employees make smarter business decisions without having to dig through systems for data to find answers. Employees want enterprise software that can anticipate their needs and provide personalized updates in any channel, across every device. After all, tools should empower employees to do their jobs not slow them down.

Interested in learning more?  Read our product guide for in-depth look at Sapho’s product architecture.


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Elle Sidell

Elle Sidell is a Digital Marketing Manager at Sapho. She joins from AVG Technologies where she worked on web content for business stakeholders. Her previous experience includes content creation, copywriting, and managing the online presence of several SaaS services.

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