Azure AI Bot Service vs. Google Cloud Dialogflow vs. Oracle Sales

From personal experience, I can recommend the Azure AI service to reduce the burden on your customer service team, as we did. We created a customer service bot and automated our Frequently Asked Questions section, as well as an interactive platform for registering other complaints that the bot cannot handle, which are later addressed by our customer service team.

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Indicated for those who have good knowledge of programming and coding in HTML and JSON, that is, it is not suitable for beginners or users without much technical knowledge. It is suitable for those who want to integrate with various platforms, such as Telegram, Webhat, Facebook Messenger, among others. I also recommend it to anyone who needs to create a chatbot in several languages (it is not automatic translation). Recommended to create new projects in CX environment and not in ES.

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Excellent as a customer relationship management tool, sales forecasting, building better sales plan for the entire deal lifecycle using critical and complex data, a 360-degree comprehensive view of vendors, partners, customers. Ensuring high standards and consistency is maintained in pricing so that quotes are competitive for prospective customers. At the end of the day, this is an excellent tool for selling and closing deals while being able to access needed information in one place.

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• Assembles conversational AI encounters for our clients
• Adds regular language, discourse, and vision
• Sends to well known channels with insignificant code changes

• Great at back-and-forth dialogue with the caller
• Integration with existing contact center plattforms
• Using the same flow for voice and chat seamlessly
• Very customizable

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• Easy to sell products[.]
• Build customers and make customer hub[.]
• Tracking the sales cycle from marketing to sell the product[.]
• Build Reports and Anayltics related to opportunities, leads, and service requests[.]
• Getting customers issues after and before selling[.]
• High ability to integrate with Oracles other products and 3rd products using Rest and Soap APIs[.]
• Restrict users using RBAC role based access[.]

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• Limited Natural Language Understanding, especially in entertainment contexts where slang, humor
• Works only with Azure platform only not compatible with other platforms
• Complex customization as per organization need

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• Some of the features are still in beta phase.
• The languages available are still limited.
• The advanced features may not be accessible to new users.

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• I would like to see more integration with other CRMs such as Salesforce.
• We have each business unit built into Salesforce and it can track the amount of gross profit that flows through our Oracle database. It then further it trickles to each sales rep and what they've closed during their time at the company. These figures are not always accurate.
• It be difficult navigating to accounts and drilling down into each specific customer to understand details.

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Azure AI Bot Service comes with an Integrated Development Environment and Bot Framework SDK that simplifies development. Having a single codebase for multiple channels, such as MS Teams, Facebook, and Slack, makes it easier to target multiple platforms without requiring redevelopment. LUIS and OpenAI can be easily integrated with your Chatbot to provide a seammless chat bot expereince to customers.

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Users benefit from Dialogflow's best User Interface and seamless User Experience. It's very scalable, and there are a lot of customization options to make it even more so. Dialogflow makes it simple to deploy, manage, and maintain chatbots. Artificial Intelligence algorithms make chatbots interactive, making it easier for users and chatbots to communicate and understand each other. Overall, it's a good option for those with little programming experience who want to learn Natural Language Processing.

Overall our organization has completely moved to Oracle CX Sales and now is able to utilize the latest technology backed by AI to provide a much better experience to customers and saving money at the same time. So it's a Win-Win situation. I believe there is a slight learning curve to derive [the] full value out of this but once you are there, you can delight your customers.

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Some of the more complex customer reports we have created are slow to run at times.

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Microsoft's customer service staff is friendly and extremely knowledgeable. They are always available to assist you with bot framework-related issues that you may be experiencing. They provide training sessions, manuals, and support personnel, among other things. Bugs were easily spotted and patched, which was one of my pet peeves about patching.

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Dialogflow is a wonderful tool that is helping to design customized chatbots. I personally recommend if you wanna know how it's works give it a try with a free APIs call, you'll love this tool

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The support the Oracle team gives is generally very good. They are patient, willing to help, and their training methods are collaborative and inclusive. They have conducted multiple support sessions and it’s always been a great user experience. The stellar team [is] always on hand to lend support when the right time comes and their helpdesk is always on hand to help.

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Excellent online training material. On-demand always helps to access anytime, anywhere. Also, it is essential that in this day and age, video tutorials with actual product screenshots make the learning more useful and fun at the same time. Certifications help test knowledge gained during these tutorial sessions. This was a blessing for fresh users.

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If you have never used a CRM program is is hard to know exactly what you need. We had lots of changes during implementation and even more afterward once the users started working in it everyday. Also the partner we used didn't inform us about Allotments and not being able to Batch delete custom objects (you can now in recent releases). There were so many unknowns, that if I had it to do over, I would educate myself more and ask more questions of the partner that we used for implementation.

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Microsoft Bot Framework is much better and well more established without a lot of proprietary software/coding language. Lex is very limited with integration with standard hardware and network configurations. Lex has performance issues and was too slow to meet near real-time collaboration requirements. Bot Framework complements many other Microsoft communication products and this was key to implementing without a lot of new training required.

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There is always use cases for both. We still use the other plattforms but each has its own strengths and weaknesses. We, as a contact center implementation partner always use multiple solutions both for ourselves but also for our customers to meet their needs. In the cases we choose Google Cloud Dialogflow is when we need to be able to handle specific follow-up questions from the customer. And for more complicated issues we also use a combination of this and other 3rd party plattforms. We always meet the need of our customers and as specialist and consultants we give expert advice on how to use all these different solutions in the best way possible.

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As compared to other CRM, this happens to be one of the best and most affordable as there are some cons, but the pros are great, and I have seen an increase in sales by using this platform. It works great for the sales process from start to end, like lead generation to closure.

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When we purchased this system it was one of the more expensive options in the market. However, with an adjustment in service and a relative price structure, this has become a lot more cost-effective over the past few years. It’s now more of a middle-ranking in the pricing structure and I would definitely say this is value for money.

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• Azure Bot will only deliver according to the granularity of the FAQ it is feed. Otherwise, it has been a cost optimization tool for our organization.

• As a partner to multiple contact center plattforms we have always been able to offer Google Cloud Dialogflow along with them because it integrates well with all.
• Many businesses want to implement smart ways to have call deflection. Bots that can handle full dialogues with the customer is very intriguing to them because it can fulfill customers requests without using up as many resources

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• We can very easily pull up a customer's order and provide any detail they need. The time this saves compared to manually tracking customer orders and accounts is incredible.
• Knowing exactly who is contacting customer service and what their orders status is before answering the calls makes the customer service reps job much easier than before.

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