#Agentforce Consulting services

[salesforceconsultingsol]

https://www.softwebsolutions.com/agentforce-consulting-services.html

Salesforce Agentforce consulting services

[fexleservices]

AI-Powered Transformation with Agentforce

2025 marks the rise of Agentforce AI Agents for automation, real-time decision-making, and smarter workflows. AI-driven customer engagement, campaign management, and workplace innovation are redefining success across industries.

Learn more here!

[getoncrm]

Top 21 AI Trends in Manufacturing You Must Know in 2025

Understand the newest AI developments in manufacturing, such as Salesforce Einstein GPT integration and predictive maintenance solutions. Discover how Salesforce Manufacturing Cloud implementation services, AI-powered CRM consulting for manufacturers, and Agentforce for Manufacturing integration are transforming smart factory operations.

[ravaglobal]

🔹 Build Your AI Agent with Salesforce AgentForce: A Step-by-Step Guide

Discover how to automate workflows and enhance customer interactions using Salesforce AgentForce. This comprehensive guide walks you through setting up an AI agent, enabling Einstein AI, building Einstein Bots, and optimizing AI-driven customer service. Learn best practices for training, deployment, and performance monitoring to maximize efficiency. 🚀

Looking for expert assistance? Partner with a Salesforce Consulting Partner USA to implement AI-driven automation tailored to your business needs! 💡

[getoncrm-salesforce-insights]

Salesforce AI in Manufacturing: 21 Future Trends Explained

As businesses move toward intelligent, automated, and data-driven production ecosystems, Salesforce AI in manufacturing is redefining the future of industrial operations. This evolution is being made possible by platforms such as Salesforce Manufacturing Cloud, Salesforce Einstein GPT, and Agentforce for Manufacturing, which offer real-time decision-making, automation, and predictive capabilities throughout the manufacturing value chain. Manufacturers are using AI-powered CRM for manufacturers to automate everything from quality control and demand forecasting to compliance and customer engagement, with the help of Salesforce consulting partners like GetOnCRM. Among the 21 major trends that are changing the industry, autonomous factory systems powered by Agentforce services for manufacturing are allowing machines to make decisions in real time with little human intervention, and predictive maintenance 2.0 is reducing unscheduled downtime. Demand forecasting tools like Salesforce Einstein GPT guarantee that production and inventory levels match market demands, while Salesforce CRM for manufacturers permits highly customized product design. Digital twins and AI-based quality control optimize maintenance and performance on the factory floor, while Salesforce Manufacturing Cloud dashboards provide real-time analytics. Salesforce Agentforce for regulatory management guarantees proactive monitoring and audit readiness, so compliance is no longer reactive. AI-optimized 3D printing and AI-powered generative design tools, meanwhile, speed up innovation and production. Even cybersecurity is changing; smart factory infrastructure is protected by cybersecurity tools driven by Salesforce AI. Lastly, GetOnCRM's Salesforce AI workforce management solutions are revolutionizing the way manufacturers automate the management of teams, tasks, and shifts. With scalable solutions that support digital transformation from the shop floor to executive strategy, GetOnCRM continues to assist companies in realizing the full potential of Salesforce AI integration in manufacturing as these trends come together.

Are you curious about how Salesforce AI can revolutionize your manufacturing operations? read more

[amberwallace]

Salesforce Agentforce Consulting & Implementation Services

Boost sales and service efficiency with Jade Global’s expert Salesforce Agentforce Consulting Services. Explore tailored solutions to transform your CX now!

[questdigiflexai]

Salesforce Consulting Services: Trends Shaping 2025

As we navigate through 2025, the landscape of Salesforce consulting services is undergoing significant transformations. Advancements in technology, evolving business needs, and the integration of artificial intelligence (AI) are redefining how organizations leverage Salesforce to drive growth and efficiency. At Digiflex.ai, we are at the forefront of these changes, helping businesses harness the full potential of Salesforce.

The Expanding Salesforce Consulting Market

The Salesforce consulting service market is experiencing robust growth. In 2023, the market was valued at approximately $16.04 billion and is projected to reach $56.99 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 15.3% during this period.

This surge is driven by businesses increasingly seeking expert guidance to optimize their Salesforce implementations and achieve seamless digital transformations.

Key Trends in Salesforce Consulting Services

1. Integration of AI and Automation

Artificial intelligence is revolutionizing Salesforce consulting. The introduction of AI-powered tools, such as Salesforce's Agentforce, enables businesses to automate routine tasks, analyze customer data more effectively, and deliver personalized experiences. This shift allows consultants to focus on strategic initiatives, enhancing overall productivity.

2. Emphasis on Data-Driven Decision Making

With the proliferation of data, organizations are prioritizing data-driven strategies. Salesforce consultants are now focusing on implementing robust analytics solutions that provide real-time insights, facilitating informed decision-making and proactive customer engagement.

3. Rise of Industry-Specific Solutions

Businesses are seeking tailored Salesforce solutions that cater to their unique industry requirements. Consulting services are evolving to offer specialized expertise in sectors such as healthcare, finance, and retail, ensuring that Salesforce implementations align with specific regulatory and operational needs.

4. Focus on Change Management and Training

Successful Salesforce adoption extends beyond technical implementation. Consultants are placing greater emphasis on change management strategies and comprehensive training programs to ensure that organizations can effectively utilize new tools and processes, maximizing return on investment.

5. Expansion of Remote and Hybrid Work Solutions

The shift towards remote and hybrid work models has led to an increased demand for Salesforce solutions that support distributed teams. Consultants are developing strategies to integrate collaboration tools, ensure data accessibility, and maintain security across various work environments.

Digiflex.ai's Commitment to Innovation

At Digiflex.ai, we are committed to staying ahead of these trends to provide our clients with cutting-edge Salesforce consulting services. Our approach includes:

AI Integration: Leveraging AI to automate processes and deliver actionable insights.

Customized Solutions: Developing industry-specific Salesforce implementations that address unique business challenges.

Comprehensive Support: Offering end-to-end services, from strategic planning to change management and training, ensuring seamless adoption and sustained success.

As the Salesforce ecosystem continues to evolve, partnering with a forward-thinking consultant like Digiflex.ai ensures that your organization remains competitive and agile in the face of change.

[salesforceconsultingsol]

Agentforce Agent Builder: Transforming AI-Powered Customer Engagement

[fexleservices]

Unlock the Full Potential of Salesforce with Expert Consulting

Salesforce is a powerful CRM, but leveraging its full capabilities requires expert guidance. This blog highlights the top Salesforce consulting companies in the USA, known for their expertise in custom implementations, seamless integrations, and business process optimization.

Whether you need Sales Cloud, Service Cloud, Marketing Cloud, or AI-driven automation, these firms help businesses maximize ROI, streamline operations, and stay ahead in the competitive landscape.

Learn more here!

[cleverhottubmiracle]

Ask the AI-powered “answer engine” Perplexity what’s the best handbag under $1,500 and you won’t see a grid of sponsored results or links to Reddit posts asking the same question.Instead, you’ll get a concise selection of five bags that fit the description, such as Chloé’s Kiss Small bag and Strathberry’s Mosaic, culled from online stories, blog posts and YouTube videos on the subject, as well as prices and a brief rundown of each bag’s key features. Perplexity provides links to where some bags can be purchased, and in certain instances, through its “Buy with Pro” option, can even complete checkout for you.The new shopping feature, available to paying subscribers, launched in November, and the results aren’t perfect. A query about the best zip boots for men returned one result with stiletto heels that it described as a women’s boot. Sometimes the products to buy aren’t the same as those highlighted in the research summary, and as TechCrunch discovered, letting Perplexity handle checkout can be slow, taking hours in one instance. But it illustrates how tech companies are thinking about the next way AI could transform the way consumers find and buy products online — via AI “agents” that can carry out complex tasks for users. Think of them like self-driving cars, but more open-ended in their abilities.In recent months, agents have become the next topic of excitement in AI. Sam Altman, OpenAI’s chief executive, called them “the thing that will feel like the next giant breakthrough” during a question-and-answer session on Reddit. Several of the industry’s largest players are actively developing agents, including ones to help consumers with shopping, or even do it for them.“Imagine taking a photo of something that you like, having the agent understand the style, find similar items across retailers and complete the purchase,” said Vince Koh, head of global solutions for digital commerce at Amazon’s Web Services division, or AWS. Koh described agents that could do things like use computer vision to help organise a user’s closet while learning their style through the visual data to make better product recommendations. “The biggest opportunity, I would say, is in creating seamless experiences that combine all these different types of interactions,” he added.While Perplexity took a lead in the field with its shopping launch, others aren’t far behind. Google and OpenAI are looking into potential uses of agents. Amazon is in the process of prototyping AI agents that could suggest products on its site, or even add them to a user’s shopping cart, Wired reported. In a sign of how valuable the company believes agents could be, AWS aims to provide agents as a service to customers, including brands and retailers. Salesforce already introduced its own platform for the purpose, called Agentforce, with Saks Fifth Avenue among its clients. Shopping with Perplexity. (Perplexity) If agents catch on, they have the potential to reshape online shopping. Many consumers are suffering from information overload and looking for solutions that can do the work of researching and selecting products for them. A report by Salesforce found that AI chatbots helped boost US online sales over the holidays by nearly 4 percent versus the prior year, suggesting consumers are using this simpler form of AI assistance.Agents would offer even more robust abilities. The consultancy Gartner forecasts that, by 2027, just over half of consumers will routinely shop for goods and services using AI shopping agents funded by companies that produce and distribute products.Before that happens, tech companies need to prove agents can actually improve shopping — and convince consumers to use them. It’s easier to see how someone might hand off buying commodity items like batteries, or purely functional ones like microwaves, to a bot versus fashion or beauty, where personal preferences and brand are so important.The Next Big Thing in AIThe idea of AI that shops for you sounds like science fiction, but in a sense it’s an evolution of the efforts retailers have made to remove friction from commerce, such as the one-click checkout Amazon pioneered decades ago. According to Dmitry Shevelenko, Perplexity’s chief business officer, the first phase for the company was changing search by giving people answers to their questions rather than links to read and digest themselves. With shopping, it’s taking the next step by letting consumers transact directly from those answers. Shevelenko said the percentage of shopping queries Perplexity gets has increased by “several multiples” since the launch, though he declined to provide exact numbers.Eventually, Perplexity envisions an agent that can behave proactively, knowing enough about a user to anticipate their needs and wants.“I don’t think the first manifestation of that is we’re just going to go buy something for you and it just shows up at your door,” Shevelenko said. “They start to come in the form of these nudges and notifications and pushes where it’s like, ‘Hey, you should really look at this’ … and then once you have that presented to you, you then have that one-click action [to purchase].”Some people actually enjoy shopping, however, particularly when it comes to fashion or beauty. They might not want to outsource the job to a bot. Shevelenko said the goal for agentic AI isn’t to automate away the joy in shopping but to remove the annoying parts.Google has agents in mind as well. They won’t be the solution for every problem, said Sean Scott, the company’s vice president and general manager of consumer shopping, in an emailed statement. The future of shopping is “assistive, personalised and seamless — in whatever form is most helpful,” he noted. But Google is pondering possibilities for agents like checking nearby stores for you to see if an item is in stock, or initiating a return and arranging a package pickup.Amazon, for one, believes they’ll prove valuable enough to shoppers that brands and retailers will want their own. The company is exploring how AWS can support clients in building agents, said Justin Honaman, head of worldwide retail, restaurants and consumer goods business development at Amazon. Agents don’t just have to be customer-facing, either. They could be focused on internal tasks, like analysing social-media trends or chatter and running visual analysis of inventory to find products that match, to take just one example. Obstacles to OvercomeImplementing them isn’t simple, however. For an agent to check if a product is available nearby, for example, it would need real-time inventory data for every store.“One of the things that we find challenging with legacy retailers is their systems are either not connected or not set up to enable the agent to get access to data,” Honaman said.That’s not the only challenge they face. The large language models that underlie agents work by making probabilistic predictions, without any genuine understanding of the world or their source content. Perplexity’s CEO, Aravind Srinivas, admitted to Fortune that the company doesn’t fully understand how its AI ranks and recommends products. That probabilistic nature makes LLMs prone to errors known as hallucinations. Some experts believe they’re an inherent side effect of how LLMs function, which would mean agents always display some rate of error. An agent could potentially give a shopper incorrect information, or try to purchase something that doesn’t exist. Amazon’s Koh said companies he’s spoken to are concerned about the issue, though he feels as the technology progresses the rate of hallucinations will decline. “I don’t view it as a principal barrier, and I certainly don’t view it as something that has to get managed to zero,” said Jason Goldberg, a retail expert and chief commerce strategy officer for the communications giant Publicis Groupe.Goldberg thinks companies will have to implement measures to mitigate hallucinations, but that shouldn’t prevent them from embracing the technology, which he believes is poised to have a dramatic impact on retail. Replenishment categories, like toilet paper, will be the first affected, but fashion and beauty aren’t beyond reach. An agent that could scrape social media and create a design brief based on the data would be valuable for brands, while one that could sift through the troves of information online to provide an item’s carbon footprint would be desirable for consumers. One unanswered question about shopping agents, however, is how effective they might be in categories where purchases are often emotional and not purely rational.“There’s been a lot of debate about this,” said Gartner analyst Andrew Frank. “I happen to be on the side of the debate that says, as AI learns more about these intangible preferences that people have for brands, it will learn how to reflect those.”One of the superpowers of LLMs is their ability to decipher relationships between nebulous qualities from smells to music styles, which is part of what makes them effective recommendation engines. But Frank sees other issues to be aware of if agents proliferate. “You wonder whose side these agents are really going to be on,” he said. Companies like Google, Amazon and others that shape shopping online make vast sums from advertising, which often means putting advertisers’ sponsored products at the top of search results. If agents are doing the filtering, will they do so to serve consumers or the advertisers? The answer might depend on the specific company and agent. Perplexity’s Shevelenko said, for now at least, the company isn’t even taking affiliate fees on sales because it doesn’t want users to feel like it’s pushing shopping simply to make money.“All it takes is one bad experience for people to give up on this technology,” he said. Source link

[norajworld]

Ask the AI-powered “answer engine” Perplexity what’s the best handbag under $1,500 and you won’t see a grid of sponsored results or links to Reddit posts asking the same question.Instead, you’ll get a concise selection of five bags that fit the description, such as Chloé’s Kiss Small bag and Strathberry’s Mosaic, culled from online stories, blog posts and YouTube videos on the subject, as well as prices and a brief rundown of each bag’s key features. Perplexity provides links to where some bags can be purchased, and in certain instances, through its “Buy with Pro” option, can even complete checkout for you.The new shopping feature, available to paying subscribers, launched in November, and the results aren’t perfect. A query about the best zip boots for men returned one result with stiletto heels that it described as a women’s boot. Sometimes the products to buy aren’t the same as those highlighted in the research summary, and as TechCrunch discovered, letting Perplexity handle checkout can be slow, taking hours in one instance. But it illustrates how tech companies are thinking about the next way AI could transform the way consumers find and buy products online — via AI “agents” that can carry out complex tasks for users. Think of them like self-driving cars, but more open-ended in their abilities.In recent months, agents have become the next topic of excitement in AI. Sam Altman, OpenAI’s chief executive, called them “the thing that will feel like the next giant breakthrough” during a question-and-answer session on Reddit. Several of the industry’s largest players are actively developing agents, including ones to help consumers with shopping, or even do it for them.“Imagine taking a photo of something that you like, having the agent understand the style, find similar items across retailers and complete the purchase,” said Vince Koh, head of global solutions for digital commerce at Amazon’s Web Services division, or AWS. Koh described agents that could do things like use computer vision to help organise a user’s closet while learning their style through the visual data to make better product recommendations. “The biggest opportunity, I would say, is in creating seamless experiences that combine all these different types of interactions,” he added.While Perplexity took a lead in the field with its shopping launch, others aren’t far behind. Google and OpenAI are looking into potential uses of agents. Amazon is in the process of prototyping AI agents that could suggest products on its site, or even add them to a user’s shopping cart, Wired reported. In a sign of how valuable the company believes agents could be, AWS aims to provide agents as a service to customers, including brands and retailers. Salesforce already introduced its own platform for the purpose, called Agentforce, with Saks Fifth Avenue among its clients. Shopping with Perplexity. (Perplexity) If agents catch on, they have the potential to reshape online shopping. Many consumers are suffering from information overload and looking for solutions that can do the work of researching and selecting products for them. A report by Salesforce found that AI chatbots helped boost US online sales over the holidays by nearly 4 percent versus the prior year, suggesting consumers are using this simpler form of AI assistance.Agents would offer even more robust abilities. The consultancy Gartner forecasts that, by 2027, just over half of consumers will routinely shop for goods and services using AI shopping agents funded by companies that produce and distribute products.Before that happens, tech companies need to prove agents can actually improve shopping — and convince consumers to use them. It’s easier to see how someone might hand off buying commodity items like batteries, or purely functional ones like microwaves, to a bot versus fashion or beauty, where personal preferences and brand are so important.The Next Big Thing in AIThe idea of AI that shops for you sounds like science fiction, but in a sense it’s an evolution of the efforts retailers have made to remove friction from commerce, such as the one-click checkout Amazon pioneered decades ago. According to Dmitry Shevelenko, Perplexity’s chief business officer, the first phase for the company was changing search by giving people answers to their questions rather than links to read and digest themselves. With shopping, it’s taking the next step by letting consumers transact directly from those answers. Shevelenko said the percentage of shopping queries Perplexity gets has increased by “several multiples” since the launch, though he declined to provide exact numbers.Eventually, Perplexity envisions an agent that can behave proactively, knowing enough about a user to anticipate their needs and wants.“I don’t think the first manifestation of that is we’re just going to go buy something for you and it just shows up at your door,” Shevelenko said. “They start to come in the form of these nudges and notifications and pushes where it’s like, ‘Hey, you should really look at this’ … and then once you have that presented to you, you then have that one-click action [to purchase].”Some people actually enjoy shopping, however, particularly when it comes to fashion or beauty. They might not want to outsource the job to a bot. Shevelenko said the goal for agentic AI isn’t to automate away the joy in shopping but to remove the annoying parts.Google has agents in mind as well. They won’t be the solution for every problem, said Sean Scott, the company’s vice president and general manager of consumer shopping, in an emailed statement. The future of shopping is “assistive, personalised and seamless — in whatever form is most helpful,” he noted. But Google is pondering possibilities for agents like checking nearby stores for you to see if an item is in stock, or initiating a return and arranging a package pickup.Amazon, for one, believes they’ll prove valuable enough to shoppers that brands and retailers will want their own. The company is exploring how AWS can support clients in building agents, said Justin Honaman, head of worldwide retail, restaurants and consumer goods business development at Amazon. Agents don’t just have to be customer-facing, either. They could be focused on internal tasks, like analysing social-media trends or chatter and running visual analysis of inventory to find products that match, to take just one example. Obstacles to OvercomeImplementing them isn’t simple, however. For an agent to check if a product is available nearby, for example, it would need real-time inventory data for every store.“One of the things that we find challenging with legacy retailers is their systems are either not connected or not set up to enable the agent to get access to data,” Honaman said.That’s not the only challenge they face. The large language models that underlie agents work by making probabilistic predictions, without any genuine understanding of the world or their source content. Perplexity’s CEO, Aravind Srinivas, admitted to Fortune that the company doesn’t fully understand how its AI ranks and recommends products. That probabilistic nature makes LLMs prone to errors known as hallucinations. Some experts believe they’re an inherent side effect of how LLMs function, which would mean agents always display some rate of error. An agent could potentially give a shopper incorrect information, or try to purchase something that doesn’t exist. Amazon’s Koh said companies he’s spoken to are concerned about the issue, though he feels as the technology progresses the rate of hallucinations will decline. “I don’t view it as a principal barrier, and I certainly don’t view it as something that has to get managed to zero,” said Jason Goldberg, a retail expert and chief commerce strategy officer for the communications giant Publicis Groupe.Goldberg thinks companies will have to implement measures to mitigate hallucinations, but that shouldn’t prevent them from embracing the technology, which he believes is poised to have a dramatic impact on retail. Replenishment categories, like toilet paper, will be the first affected, but fashion and beauty aren’t beyond reach. An agent that could scrape social media and create a design brief based on the data would be valuable for brands, while one that could sift through the troves of information online to provide an item’s carbon footprint would be desirable for consumers. One unanswered question about shopping agents, however, is how effective they might be in categories where purchases are often emotional and not purely rational.“There’s been a lot of debate about this,” said Gartner analyst Andrew Frank. “I happen to be on the side of the debate that says, as AI learns more about these intangible preferences that people have for brands, it will learn how to reflect those.”One of the superpowers of LLMs is their ability to decipher relationships between nebulous qualities from smells to music styles, which is part of what makes them effective recommendation engines. But Frank sees other issues to be aware of if agents proliferate. “You wonder whose side these agents are really going to be on,” he said. Companies like Google, Amazon and others that shape shopping online make vast sums from advertising, which often means putting advertisers’ sponsored products at the top of search results. If agents are doing the filtering, will they do so to serve consumers or the advertisers? The answer might depend on the specific company and agent. Perplexity’s Shevelenko said, for now at least, the company isn’t even taking affiliate fees on sales because it doesn’t want users to feel like it’s pushing shopping simply to make money.“All it takes is one bad experience for people to give up on this technology,” he said. Source link

[ravaglobal]

Salesforce's Agentforce: Revolutionizing AI-Powered Customer Engagement

Discover how Salesforce's Agentforce is transforming customer relationship management by automating tasks such as sales outreach and customer support. Leveraging Salesforce Consulting Services, businesses can enhance efficiency, scale operations, and reduce costs with AI-driven solutions, staying ahead in today’s competitive market.