Name: TechSee
Author: TechSee Augmented Vision

Help Desk

Web and Video Conferencing

Customer Support

Augmented Reality Development

Text Editors

Development

Alumni Management

Education

Association Management

Business Intelligence (BI)

Calibration Management

Collaboration

Digital Rights Management (DRM)

File Sync

Objectives and Key Results (OKR)

Enterprise

Accounting

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Employee Onboarding

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Application Performance Management (APM)

Asset Tokenization

Blockchain Analysis

Cloud Storage

Data Center Backup

Fraud Detection

Graph Database

Infrastructure-as-a-Service

Integrated Development Environment (IDE)

Integration Platform as a Service (iPaaS)

Internet Performance Monitoring

Network Performance Monitoring

Network Traffic Analysis (NTA)

Robotic Process Automation (RPA)

Runtime Application Self-Protection

SQL Server Performance Monitoring

Telecom Expense Management (TEM)

Web Scraping

Zero Trust Security Solutions

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Channel Management

Content Management

Conversion Rate Optimization

Customer Advocacy

Customer Loyalty Program

Email Marketing

Employee Advocacy

Location Intelligence

Marketing Automation

Personalization Engines

Presentation

Social Media Analytics

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Waste Management

Professional Services

Customer Relationship Management (CRM)

Sales Content Management

Sales Pipeline

Sales

Data Loss Prevention

Security

Automotive

Camp Management

Card Management

Healthcare Learning Management

Online Voting

Practice Management

Revenue Cycle Management (RCM)

Tour Operator

Warranty Management

Vertical-Specific

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TechSee is a visual engagement platform that utilizes augmented reality (AR) and artificial intelligence (AI) technologies to provide remote assistance and support. According to the vendor, TechSee enables customer support representatives, field service technicians, contact center agents, insurance adjusters, and retailers to offer visual support to their customers. This includes troubleshooting technical issues, guiding through product installations, or conducting remote visual inspections. TechSee aims to enhance issue resolution and customer satisfaction across various professions and industries.

## Key Features

**Real-time visual support**: TechSee allows contact center agents to see what customers see through their smartphone cameras, potentially improving issue understanding and resolution.

**AR annotations**: Agents can use augmented reality annotations to visually guide customers, providing step-by-step instructions or highlighting specific areas of interest.

**Screen sharing**: TechSee enables agents to view and interact with the customer's screen, assisting with troubleshooting software-related issues and providing remote assistance.

**Remote camera control**: Agents can remotely control the customer's camera to gain a better view of the problem or guide them through physical inspections.

**Remote expert assistance**: Field technicians can receive real-time guidance from remote experts through the TechSee platform, potentially improving first-time fix rates and reducing the need for repeat visits.

**AR overlays**: Experts can overlay digital instructions or diagrams onto the technician's field of view, facilitating accurate performance of complex repairs or installations.

**Image and video capture**: Field technicians can capture images or record videos of the issue at hand, allowing for easy documentation and knowledge sharing.

**Offline mode**: TechSee's mobile app supports offline mode, ensuring technicians can access relevant information and guidance even in areas with limited connectivity.

**Visual guides and tutorials**: TechSee provides customers with visual guides and tutorials to help them troubleshoot common issues independently, reducing the need to contact support.

**AI-powered search**: TechSee's AI-powered search engine helps customers quickly and efficiently find relevant troubleshooting information.

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TechSee

Contact center software (often CCaaS) enables organizations to manage customer interactions across voice, email, chat, SMS, and social media. Key features include IVR, ACD, omnichannel routing, call recording, analytics, and CRM integration. Designed for support and sales teams, these platforms improve responsiveness and CX. Compare cloud-based solutions by features, scalability, and verified user reviews.

Contact Center

TechSee Augmented Vision

Contact Center Software

Contact center software allows companies to manage inbound and outbound customer communications across a range of channels at scale, and may or may not include call reporting analytics. These channels can include voice (phone), email, fax, VoIP, webchat, video chat, and social media platforms.

Agent dashboard

Enables agents to track and view their individual and team performance.

Validate callers

Authenticates inbound callers with a customer ID.

Outbound response

Allows agents to make outgoing responses via different communication channels (e.g. phone, SMS/text, live chat, messaging apps etc..).

Call forwarding

Forwarding of calls to the appropriate agents.

Click-to-call (CTC)

Warm transfer

Allows current agent to speak with new agent before call is transferred.

Predictive dialing

Dials multiple numbers at once and connects the salesperson if a live speaker answers.

Interactive voice response

Pre-recorded greeting and menu options a customer can select from a telephone keypad.

REST APIs

Open APIs, SDKs, and supporting documentation, that enable businesses to customize and build on the Contact Center platform.

Call scripts

Providing agents with a predefined conversation script.

Call tracking

Enables agents and managers to see the origin of the call.

Multichannel integration

Ability to collect, store, and share customer data across communication channels such as voice (phone), email, fax, SMS/text, video, web chat, and social media

CRM software integration

Allows agents to access aggregated customer information and call history data, enabling them to view a comprehensive history of a customer’s interactions.

Automatic speech recognition (ASR)

Ability to offer speech-enabled IVR that translates callers’ spoken words into text, or ability to integrate with ASP software.

Natural language processing for IVR

Ability to offer conversational chatbots in the IVR.

Communications forecasting

Ability to predict volume based on historic data and/or machine learning, and generate schedules to meet forecasted capacity.

Workforce Optimization (WFO)

Tools that allow managers or team leaders to evaluate and track agent performance.

Inbound call routing

Connecting inbound callers to agents based on wait time, call priority, or whether any specific skills or knowledge is required to handle the call.

Omnichannel inbound routing

Connecting inbound communications (coming from a variety of channels) to agents based on wait time, call priority, or whether any specific skills or knowledge is required to handle the call.

Recording

Record conversations to improve service quality by evaluating agent-customer interactions.

Quality management

Ability to monitor conversation content, administer evaluations, establish policies etc..

Call analytics

Gathers key performance indicators (KPIs) such as average time in the queue, average call abandonment rate, average handle time (AHT), average speed of answer etc..

Historical reporting

Ability to analyze long-term call patterns and trends such as peak call times and downtimes.

Live reporting

Ability to analyze real-time agent-customer interactions such as how long a caller has in the queue and call script deviation.

Customer surveys

Allows agents to gather post-interaction feedback from customers on the communication channel of their choice.

Customer interaction analytics

The process of taking unstructured interaction data across channels (audio, video, email, text etc..) and formatting it so that it can be searched and categorized based on interaction patterns.

Omnichannel support

Different customer interaction channels that a vendor may or may not offer.

Email

Voice (phone)

VoIP

SMS/Text

Video channel

Live chat channel

Co-browse

Screen-share

Social media channels

Mobile applications

Predictive Analytics

Using artificial intelligence (AI) capabilities such as machine learning and natural language processing to enhance customer experience.

Intelligent call routing

Uses machine learning to connect calls to the correct agents based off previous interaction data.

Chatbots

Machine learning enabled chatbots used to handle more routine or simpler customer requests, freeing up live agents to deal with complex issues.

AI assistance for live agents

AI provided predictive suggestions for live agents based on customer history and real-time interaction.

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TechSee

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What is TechSee?