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Unlocking Sales Growth: Account Prioritization Engine with Explainable AI

Jena, Suvendu, Yang, Jilei, Tan, Fangfang

arXiv.org Artificial Intelligence

B2B sales requires effective prediction of customer growth, identification of upsell potential, and mitigation of churn risks. LinkedIn sales representatives traditionally relied on intuition and fragmented data signals to assess customer performance. This resulted in significant time investment in data understanding as well as strategy formulation and under-investment in active selling. To overcome this challenge, we developed a data product called Account Prioritizer, an intelligent sales account prioritization engine. It uses machine learning recommendation models and integrated account-level explanation algorithms within the sales CRM to automate the manual process of sales book prioritization. A successful A/B test demonstrated that the Account Prioritizer generated a substantial +8.08% increase in renewal bookings for the LinkedIn Business.


Council Post: Luxury Fashion Meets Immersive Commerce: Luxury In The Metaverse Era

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Dedrick Boyd is an international e-commerce strategist and the founder of TechSparq. In 2022, brands like Louis Vuitton, Burberry, Gucci and Nike showed that they were determined to be early adopters of the metaverse. Mark Zuckerberg's Meta is already pushing the concept with its Horizon Worlds, and Made.com has focused further on its online presence by allowing customers to visualize furniture in their homes with their smartphone cameras. Overall, we can look to the video game industry, which is light years ahead of other industries when it comes to selling digital upgrades. Using real and in-game currency, players can buy exclusive items to enhance their look, vehicle, housing or any other part of the experience.


Top Ways Companies Are Using AI For More Efficient Sales Introduction

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If you thought that Artificial Intelligence was only used for playing chess or analyzing data, think again. AI is quickly becoming a staple in sales teams across the globe as companies attempt to increase efficiency and close more deals. This blog post will explore a few ways companies use AI for more efficient sales. From lead generation to customer segmentation, AI is changing the sales landscape as we know it. So if you're curious about how AI can help your sales team, read on! Sales intelligence is the term given to the data and information gathered about potential customers during the sales process.


Enhance Your Customer Journey with Omnichannel Sales and AI

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A few weeks ago, my friend Scott called me, frantic. The first words out of his mouth when I picked up the phone were, "Benj, I hate distributors." As a bit of background, Scott started a company that is creating an advanced protein that can break down plastic waste more than ten times faster than current methods. By combining single-molecule biophysics, deep learning and chemistry, his company aims to break down plastic waste while using 50% less energy than traditional methods and zero new fossil fuels. In the past few months, Scott has built a team of over 30 professionals.


Microsoft adds conversational AI to Dynamics 365

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Microsoft Dynamics 365 Customer Service and Dynamics 365 Sales users will get new features later this month with an emphasis on conversational intelligence and Teams integrations. Dynamics 365 Customer Service will be more tightly embedded in Microsoft Teams. Contact center agents will be able to collaborate with co-workers by sharing AI-generated conversation summaries to resolve customer issues faster, and Teams chat will be embedded within Dynamics 365, which enables customer records of sales and service cases to be shared in Teams outside of their department or with supervisors and peers. Microsoft also previewed Azure Communication Services, a bundle of software workflow APIs that route public switched telephone network or VoIP calls within apps. All of the above features will also be compatible with Microsoft Digital Contact Center, a contact-center-as-a-service platform released earlier this year.


The Benefits of Integrating AI and ML to Maximize Operational Efficiency - insideBIGDATA

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In this special guest feature, Zach Thomas, VP of Product Marketing, Conga, discusses the ways emerging technologies like AI and ML can expedite business operations to accelerate revenue. Zachary brings more than 20 years of experience in the technology sector to his role as Vice President of Product Marketing at Conga. Prior to Conga, he served as Senior Director, Head of Cloud Applications at Ellucian, a leading provider of software and services designed for higher education. His previous roles include leadership positions at Saba Software, Sage, Oracle, and Ultimate Software. Thomas holds a Bachelor of Arts degree in English and Political Science from Hamilton College in Clinton, New York. From predicting COVID-19 mortality to content personalization, artificial intelligence (AI) and machine learning (ML) are expanding the possibilities for organizations across the globe.


what-is-artificial-intelligence-ai-and-how-does-it-improve-sales

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AI is a subfield of computer science that enables machines to imitate human thought, decision-making, and behavior. According to massive data sets, these technologies learn and adapt, allowing them to make insights, forecasts, and recommendations. This technology has been gradually introduced into several aspects of our everyday life, including internet chatbots, facial recognition software, and self-driving cars. The potential for AI in sales is huge, but yet to be fully unlocked. It can be used by businesses to improve lead volume, closing rate, and revenue performance by helping automate much of the process.


Why Small Businesses Shouldn't Think Twice Before Embracing AI

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If you are thinking AI is a big thing for small businesses, then think again. Sure enough, IT powerhouses like Amazon and USP are relying on AI robots to enhance employee experience. But then, the fact is, even start-ups are readily experimenting with AI technologies, big-time. For instance, there's a pizza start-up in Mountain View, California that is employing several robots to assist humans in assembling and baking pizzas. The point is AI is not just the province of big businesses.


AI is revolutionising the sales process – here's how

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Imagine a world where you can accelerate the sales pipeline, improve win rates and save time in the process. It sounds like a pipe dream. Artificial intelligence (AI) is making this a reality, upending the traditional sales process and transforming it for the better. There's a lot of fear out there around artificial intelligence – that it will replace the role of salespeople. AI shouldn't be looked at as an army of robots about to steal our sales jobs – it should be viewed as a resource that's going to give salespeople supercharged abilities.


Automate Salesforce (Sales Cloud) use cases using the right RPA technology with Jade Global

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One of the most powerful sales and marketing platforms, Salesforce is used in most enterprises across industry verticals. With the advent of multiple sales channels like digital channels, social media channels, and tremendous growth in transactions like leads, customer engagement, etc. It is challenging to feed all relevant info to Salesforce simultaneously. Marketing teams in enterprises daily receive hundreds of leads from various digital channels like Facebook Ads, Shopify customer info, LinkedIn Gen forms, emails, etc. These must be fed into Sales Cloud manually to address these leads, which means a team should manually download information about each lead, restructure or reformat it, and type it into Sales Cloud.