7 Aspects Sales Leaders Should Prioritize While Choosing A CRM

CRM or customer relationship management is an approach to manage your company's interactions with your current and potential customers. By using CRM software, you could store customer data and make use of it to engage with new clients and retain existing ones with ease. The system also helps your employees gain valuable insights into your sales, marketing, and service management processes to facilitate cooperation between multiple teams.

CRM systems are at the heart of modern business processes that depend on capturing, analyzing, and using customer information to make decisions.

Due to such insights, your sales, marketing, and service teams get a better understanding of strategies that work and the ones that don't. With these insights, they could adjust their workflows for the best possible outcomes.

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CRM For Service Automation

Service Automation is a combination of workflow orchestration, workload automation, and resource provisioning across an organization's hybrid digital infrastructure.

In simpler words, Service Automation refers to the delivery of service activities in an automated manner, using a software or an online platform.

Apart from improving service accessibility, Service Automation also frees your team to concentrate on value-based activities that have the potential of building better relationships with customers through personalization.

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CRM For Sales Automation

Sales Automation refers to a system that automates time-consuming, manual tasks related to sales. It aims to mechanize all repetitive and redundant activities in the entire sales process so that the time and resources of your sales team would not be drained in carrying them out.

Though these redundant activities are important and without them, your sales pipeline would get severely affected, they do not require humans to complete them. A Sales Automation software such as an advanced CRM uses digital tools and Artificial Intelligence to step in and complete these tasks on your behalf.

Sales Automation works 24/7, all 365 days of the year, providing you with valuable insights and ensuring you do not miss out on anything, whether it is a client meeting that you lost track of, or an invoice you were supposed to send out. It reduces the margin of error very significantly as AI-powered tools take over and ensure accuracy in every operation.

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CRM For Marketing Automation

Marketing automation is the use of technology to assist marketers in handling customer data management, customer segmentation, and campaign management automatically across multiple channels. Because the data is easily accessible in the CRM software, it empowers marketers to offer targeted, data-driven, and real-time campaigns with enhanced efficiency and productivity.

The main goal of Marketing Automation is to improve customer engagement, lead nurturing process, qualified lead pipeline, campaign measurability, campaign productivity, and sales revenue.

Organizations adopting Marketing Automation should select the right CRM software to integrate their marketing systems and streamline all marketing processes. However, they also need to carefully review their internal needs and the software capabilities. This would avoid the redundancies with existing technologies and unnecessary investments.

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Embedded Analytics – Build vs Buy

As a software company, you already know the value of data and analytics can bring to your business. That means the real decision is whether to build your own in-house analytics or invest in an analytics platform that can be easily embedded into your software. Fortunately, you can make the right decision by downloading Qrvey’s Build vs Buy guide for software providers.

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CoreanGen Case Study

When the global crisis hit, CorneaGen faced a monumental challenge. The company’s days sales outstanding (DSO) was averaging 73-78 days and invoices older than 150 days represented $1.5 million of revenue. This situation needed to improve quickly, or the organization would risk facing serious cash flow problems.

The AR team struggled with significant inefficiencies caused by poor AR practices. When invoicing, old credit notes were applied to outstanding invoices. This meant that when a customer took a credit note, CorneaGen’s team had to spend time reconciling information in the invoice history. This stalled the process and took time away from revenue-generating activities.

YayPay seamlessly integrated with CorneaGen’s NetSuite ERP to unlock the company’s financial data. The team immediately benefitted from having data organized and presented on centralized, cloud-based dashboards. Customization capabilities enabled the team to create reportable fields for data, which eliminated the time previously spent scrolling through endless customer information.

Learn more about how YayPay transformed CorneaGen’s AR team – download the case study!

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State of Accounts Payable Today

A study of 600 finance workers found that 76% of accounting teams, with automated AP, report increased productivity and less overtime.

Invoice approval delays, document management and late vendor payments surfaced as the main AP challenges. This directly impacted the work-life balance of accountants, forcing many to work an extra 10 hours per week.

Download this research to find out:

  • How 76 % of finance professionals have increased productivity and reduced overtime
  • How to eliminate late payments for good
  • How Beanworks improves approvals, payments and AP data access
  • How to prevent vendor fraud and expense abuse that 60 % of businesses experienced this year

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AI Transformation Playbook

AI (Artificial Intelligence) technology is now poised to transform every industry, just as electricity did 100 years ago. Between now and 2030, it will create an estimated $13 trillion of GDP growth. While it has already created tremendous value in leading technology companies such as Google, Baidu, Microsoft and Facebook, much of the additional waves of value creation will go beyond the software sector.

This AI Transformation Playbook draws on insights gleaned from leading the Google Brain team and the Baidu AI Group, which played leading roles in transforming both Google and Baidu into great AI companies. It is possible for any enterprise to follow this Playbook and become a strong AI company, though these recommendations are tailored primarily for larger enterprises with a market cap/valuation from $500M to $500B.

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Redefining Quality Control with AI-powered Visual Inspection for Manufacturing

Emerging technology — from the introduction of assembly lines to the Internet of Things — has always defined manufacturing.

With the creation of computers and early automation came traditional machine vision, in which machines analyze photos of parts and components for defects based on a set of human-defined rules. While it reduces human error, traditional machine vision lacks the capacity to solve for pain points like complex defects and changing environments.

Today, more sophisticated artificial intelligence (AI), including machine learning (ML) and deep learning (DL), allows manufacturers to use AI-powered visual inspection to enhance quality and reduce costs. But even now, only 5% of manufacturing companies have a clearly defined strategy for implementing AI.

Companies need strategies to overcome challenges in visual inspection, which still relies heavily on human inspectors or inflexible rules-based machine vision. The cost of sending defective pieces to customers — both in reputation and in recalls — isn’t sustainable in a competitive global environment.

The right AI platforms offer tools that can enhance quality control and cut costs — after users tackle key obstacles.

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Accelerate AI Adoption

Landing AI’s industrial AI platform consists of a suite of interconnected tools that enables you to build, deploy, manage and scale AI solutions for visual inspection in an end-to-end workflow.

Designed from the bottom up to enable manufacturers to take projects from concepts to scalable solutions with speed, LandingLens minimizes customization and scaling challenges. While AI models are unique, leveraging universal tools can expedite complex projects. Built for evolving data, LandingLens is comprised of a suite of tools to automate machine learning for industrial vision.

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2020 Global AI-Powered Vision Inspection Enabling Technology Leadership Award

As the AI tide takes over all industries, Landing AI’s most innovative, effective, and easy-to-use AI-powered vision inspection platform enables manufacturers to achieve high-quality output. Landing AI offers immense value to its customers through its robust and adaptive AI algorithms, which is constantly improved by some of the best technical minds in the industry and seamlessly updated at the customer site through the cloud. The visionary leadership of Dr. Andrew Ng, the highly driven techno-commercial team, strong vision inspection domain knowledge, and resilience toward ensuring customer success well position Landing AI to remain a market leader in this space.

With its strong overall performance, Landing AI has earned Frost & Sullivan’s 2020 Enabling Technology Leadership Award in the global AI-powered vision inspection industry.

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2020 State of AI-Based Machine Vision

Of the many use cases in manufacturing, visual inspection—a task that involves using human eye or machine vision to verify if a product is free of defects or if parts are correctly assembled—is well-suited for AI. According to a study by McKinsey & Company, AI-powered quality inspection can increase productivity by up to 50% and defect detection rates by up to 90% compared to manual inspection.

Given these benefits, have businesses started using AI in visual inspections? If so, what is the level of adoption, and what are the challenges? These questions and more drove Landing AI, an industrial AI company, and the Association for Advancing Automation to launch this survey on the state of AI-based machine vision.

The survey polled 110 companies from the manufacturing and machine vision industry with both multiple and single choice questions. Respondents who took the survey perform a variety of roles and include C-suite executives, automation engineers and plant managers. One main takeaway is that businesses have high confidence in the effectiveness of AI, and a growing number of companies are already using deep learning-based machine vision for automated visual inspection.

In this report, we will highlight four key findings, detail those discoveries, and provide analysis.

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How Configuration Management Systems Deliver Change and Compliance

The fundamental capability which configuration management provides is backup and archiving of critical configuration data from network and server equipment. This along with collecting detailed inventory data provide the basis for managing change and compliance.

The ability to detect, report and alert on change in near real time improves overall service availability and reduces the time required to identify the cause of incidents and outages.

This paper is to help Network Engineers, IT Managers and Executive Leadership understand the benefits of configuration management and how it contributes to change and compliance management at the business.

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Optimizing and Automating Event Management to Support Incident Management

Opie has just arrived in the office and sat down to check his email. “Holy moly!” He yells out. He is looking at a massive influx of email messages in his Inbox from the Event Management tool, which was just configured to send out the alert notifications via email. “There’s no way the operations team will be able to respond to all those notifications in an efficient and timely manner. There has to be a better way to handle and address network events.”

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Navigating the 7 Pitfalls of Incident Management

Technology organizations are constantly under pressure to do more with less. With the explosion in both complexity and quantity of applications and digital infrastructure teams need to support, it’s becoming even more critical for IT teams to invest in automation. Explore seven painful anti-patterns that can get in the way of automating incident response for faster resolution and fewer escalations. Learn how you can:

  • Prevent Incidents and Reduce Incident Duration
  • Reduce the Cost of Response
  • Share Knowledge and Continuously Improve

Learn how to tackle these issues to help your team achieve faster resolution and fewer incidents.

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