Mindtickle’s Call AI Helps Turing Video Fine Tune Its Enablement Program, Keep All Reps “On Script”
Customer Company Size
SME
Region
- America
Country
- United States
Product
- Mindtickle’s Call AI
- Mindtickle Sales Readiness platform
Tech Stack
- AI technologies
- Computer Vision
- Machine Learning
- IoT
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Brand Awareness
- Customer Satisfaction
Technology Category
- Analytics & Modeling - Machine Learning
- Application Infrastructure & Middleware - API Integration & Management
Applicable Industries
- Security & Public Safety
- Retail
Applicable Functions
- Sales & Marketing
- Business Operation
Use Cases
- Predictive Maintenance
- Computer Vision
- Speech Recognition
Services
- Data Science Services
- Software Design & Engineering Services
About The Customer
Turing Video, Inc. is a San Mateo, California-based company founded in 2017. It operates within the industry of A.I.-enabled workplace safety and security solutions. The company is an award-winning AI company focused on leveraging computer vision and AI technologies towards advancing human capabilities and industries. Turing Video develops complex, deep-learning machine learning models to integrate with industry-proven robotics, video analytics, and health solutions to create interconnected AI-enabled IoT (Internet of things) solutions unlike any other in the world. Their products have become key assets for managing operations at leading real estate companies, top 100 retails, casinos and gaming, and corporate data centers.
The Challenge
Turing Video’s go to market is primarily driven through inbound meetings set by SDRs. In these meetings, reps further qualify prospects and convert them into deals. The sales management at Turing was looking to improve win rates, and better understand how company messaging was being communicated by sales reps on their calls with customers and prospects. They wanted to be able to assess rep competencies on actual calls in order to address gaps through 1-on-1 coaching and through group enablement programs. One of Turing Video’s greatest challenges was ensuring its sales team was communicating a consistent message on each customer or prospect call, which would in turn improve sales effectiveness and win rates.
The Solution
Turing leverages Mindtickle for their onboarding and sales readiness programs. By integrating Mindtickle’s Call AI with the Readiness platform, Turing is set to achieve a “continuous improvement culture” within their sales team. Call AI automatically records, transcribes, and analyzes all Turing sales meetings. Insights like Call Scores are then used by sales managers to understand which reps use prescribed messaging and discovery questions, where skill gaps exist, and how enablement programs need to be updated. Reps also leverage Call AI for self-learning. One of Call AI’s greatest features, according to Myers, is its theme search capability. Using this AI-enabled search function, Myers can find critical moments of any recorded call, which helps shed light on how conversations between reps and prospects are actually going and where adjustments must be made.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Improving Production Line Efficiency with Ethernet Micro RTU Controller
Moxa was asked to provide a connectivity solution for one of the world's leading cosmetics companies. This multinational corporation, with retail presence in 130 countries, 23 global braches, and over 66,000 employees, sought to improve the efficiency of their production process by migrating from manual monitoring to an automatic productivity monitoring system. The production line was being monitored by ABB Real-TPI, a factory information system that offers data collection and analysis to improve plant efficiency. Due to software limitations, the customer needed an OPC server and a corresponding I/O solution to collect data from additional sensor devices for the Real-TPI system. The goal is to enable the factory information system to more thoroughly collect data from every corner of the production line. This will improve its ability to measure Overall Equipment Effectiveness (OEE) and translate into increased production efficiencies. System Requirements • Instant status updates while still consuming minimal bandwidth to relieve strain on limited factory networks • Interoperable with ABB Real-TPI • Small form factor appropriate for deployment where space is scarce • Remote software management and configuration to simplify operations
Case Study
Smart City Public Safety
Amyx+ worked with a local government authority to develop an Internet of Things-enabled public safety strategy. In the current state, vigilance meant manually scanning through potentially hundreds of analog surveillance videos feeds. Manual, costly and ineffective, the local agency desired to transition from analog to digital CCTV, apply computer vision and other technologies to automatically detect potential crime in progress, expedite and streamline emergency calls and integrate with personal wearables to ensure the safety of their citizens.
Case Study
Digital Retail Security Solutions
Sennco wanted to help its retail customers increase sales and profits by developing an innovative alarm system as opposed to conventional connected alarms that are permanently tethered to display products. These traditional security systems were cumbersome and intrusive to the customer shopping experience. Additionally, they provided no useful data or analytics.
Case Study
How Sirqul’s IoT Platform is Crafting Carrefour’s New In-Store Experiences
Carrefour Taiwan’s goal is to be completely digital by end of 2018. Out-dated manual methods for analysis and assumptions limited Carrefour’s ability to change the customer experience and were void of real-time decision-making capabilities. Rather than relying solely on sales data, assumptions, and disparate systems, Carrefour Taiwan’s CEO led an initiative to find a connected IoT solution that could give the team the ability to make real-time changes and more informed decisions. Prior to implementing, Carrefour struggled to address their conversion rates and did not have the proper insights into the customer decision-making process nor how to make an immediate impact without losing customer confidence.
Case Study
Ensures Cold Milk in Your Supermarket
As of 2014, AK-Centralen has over 1,500 Danish supermarkets equipped, and utilizes 16 operators, and is open 24 hours a day, 365 days a year. AK-Centralen needed the ability to monitor the cooling alarms from around the country, 24 hours a day, 365 days a year. Each and every time the door to a milk cooler or a freezer does not close properly, an alarm goes off on a computer screen in a control building in southwestern Odense. This type of alarm will go off approximately 140,000 times per year, equating to roughly 400 alarms in a 24-hour period. Should an alarm go off, then there is only a limited amount of time to act before dairy products or frozen pizza must be disposed of, and this type of waste can quickly start to cost a supermarket a great deal of money.
