Machine Learning with a beautiful UI for Customer Interaction Data.
We are in a customer-centric economy and every company starts and ends with the customer. Every single customer interaction via direct (web chats, emails, calls) or indirect (social media, Amazon, Yelp) information channels is a signal underlying core aspects of a product. Human language is inherently noisy, ambiguous and nuanced. Our analytics engine provides state of the art Machine Learning and Artificial Intelligence algorithms to help you understand, engage and respond to millions of customer interactions in real time.
Our all-MIT team is constantly improving the analytics engine to help you better understand every customer interaction.
Instantly deploy our capabilities on Salesforce.com and Zendesk with a single click. Integrates with existing workflows seamlessly. It just works!
Our distributed clusters can handle massive amounts of streaming data in real time.
Simple, beautiful and easy interface to gain actionable insights
We are here for you 24/7.
Customer Support Relations
Understanding customer concerns and resolving them efficiently is key to keeping customers satisfied and engaged. Nodespan's Analytics Engine uses customer interaction data, including inbound support requests, customer emails, phone calls, and chats to effectively understand recurring topics of customer concern.
Nodespan enables real-time allocation of customer calls to the most appropriate support representative, reducing call lengths and leading to more satisfied customers who now speak to the right customer service represenative who can resolve their problems.
Nodepsan also allows companies to direct support personnel to the right resources to resolve customer issues, and enables self-help capabilities for customers. Management has full visibility into topic-level dashboards of customer concerns to make proactive rather than reactive decisions.
Nodespan helps reduce support costs, improve customer satisfaction, and make customer support interactions more productive.
Leveraging insights from customer reviews, focus groups, and inbound feedback can accelerate product development, helping companies to satisfy customers’ needs. But it can be difficult to sift through myriad reviews to distill key themes, read through long focus group transcripts to find common themes, or process inbound feedback in a concise, meaningful way.
Nodespan allows product managers, engineers, and designers to understand customer needs in a simple, beautiful, intuitive way. This leads to a faster product development cycle, a richer understanding of customer needs, and reduced development costs.
Marketing to customers works when you understand customer views, concerns, and desires. Nodespan helps marketers understand customer sentiment, topics of concern, and competitive dynamics.
Understanding customer concerns in real-time across support, sales, social media, and the public web in real-time allows marketing spend to be more impactful, and enables a company to better position products in a competitive marketplace. Think of it as high-powered market research, made simple.
Sales / Leads
Generating, prioritizing, and tracking sales leads is time consuming and costly, but extremely important to nearly every organization. Sales professionals face challenges in trying to sift through mountains of leads to determine which leads are most likely to buy.
Nodespan's Analytics Engine brings together diverse data about customer interactions spanning CRM, support history, email, and other data sources to shape a 360 degree view of leads. And using Nodespan's Enterprise Knowledge Graph, Nodespan gives sales professionals information on each lead's interactions with the company -- appending valuable information to CRM records for salespeople to better tailor their outreach efforts.
Disrupting Enterprise Decision Making
We are passionate about helping companies become customer-centric by developing the best in machine learning.
Meet the team.
Get in touch
We are in private beta stage and have limited sign ups. If you are a company looking to gain actionable insight from your customer interaction data and make customer conversations more intelligent, let us know and we would love to get in touch!
- Address: 1 Amherst Street, Cambridge, MA 02142, USA.
- Phone: (858) 200-6630
- Email: email@example.com