microsoft crm for real estate

DevOps can be One of the Best Investments You Make for Your Restaurant Delivery Services

Are your customers facing difficulties in ordering food online? Is your online delivery app crashing again and again? Is this situation frustrating you and your customers? It signals it’s time to invest in Agile DevOps. During Quarantine, the trend for online food ordering grew at an immense speed. Many restaurants already started online food delivery […]

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Smart Retail IoT

How Does IoT Help Your Retail Business with More Advanced Customer Service?

Today’s digital transformation has given the Internet of Things a fair playground to establish itself among businesses. IoT has entered our homes and offices, which is why we expect exceptional comfort from the technology. From fast details to instant customer services, it has conquered it all. Due to all these conveniences, customers are becoming less

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Machine Vision System

Get Consistent Quality Inspection in Your Automotive Plant  

Do you want to know how your competitors are getting ahead of you with fast and good-quality production? Seems like magic but it’s technology instead. Many big industrialists have adopted advanced technology in their automotive plants i.e., Machine Vision System. A technology based on AI (Artificial Intelligence) ensures they get the best production. In contrast to

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Top Reasons to Use Microsoft Dynamics 365 as your CRM  

Microsoft Dynamics 365 is a unified platform that combines ERP (Enterprise Resource Planning) and CRM on the same platform while eliminating the need to implement different systems for different purposes. Dynamics CRM has different modules such as: Dynamics CRM for Sales Marketing, CRM for Warehouse Management etc.   Using disparate systems can cause more complications

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Advancing Azure service quality with artificial intelligence: AIOps

We are going to share our vision on the importance of infusing AI into our cloud platform and DevOps process. Gartner referred to something similar as AIOps (pronounced “AI Ops”) and this has become the common term that we use internally, albeit with a larger scope. Today’s post is just the start, as we intend

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