Tag: food manufacturing erp

Microsoft Azure Cloud Services, Uncategorized

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 to provide regular updates to share our adoption stories of using AI technologies to support how we build and operate Azure at scale.

Why AIOps?

There are two unique characteristics of cloud services:

  • The ever-increasing scale and complexity of the cloud platform and systems
  • The ever-changing needs of customers, partners, and their workloads

To build and operate reliable cloud services during this constant state of flux, and to do so as efficiently and effectively as possible, our cloud engineers (including thousands of Azure developers, operations engineers, customer support engineers, and program managers) heavily rely on data to make decisions and take actions. Furthermore, many of these decisions and actions need to be executed automatically as an integral part of our cloud services or our DevOps processes. Streamlining the path from data to decisions to actions involves identifying patterns in the data, reasoning, and making predictions based on historical data, then recommending or even taking actions based on the insights derived from all that underlying data.

 Infusing AI into cloud platform and DevOps – with AI at the center of Customers, Engineering, and Services.
Figure 1. Infusing AI into cloud platform and DevOps.

The AIOps vision

AIOps has started to transform the cloud business by improving service quality and customer experience at scale while boosting engineers’ productivity with intelligent tools, driving continuous cost optimization, and ultimately improving the reliability, performance, and efficiency of the platform itself. When we invest in advancing AIOps and related technologies, we see this ultimately provides value in several ways:

  • Higher service quality and efficiency: Cloud services will have built-in capabilities of self-monitoring, self-adapting, and self-healing, all with minimal human intervention. Platform-level automation powered by such intelligence will improve service quality (including reliability, and availability, and performance), and service efficiency to deliver the best possible customer experience.
  • Higher DevOps productivity: With the automation power of AI and ML, engineers are released from the toil of investigating repeated issues, manually operating and supporting their services, and can instead focus on solving new problems, building new functionality, and work that more directly impacts the customer and partner experience. In practice, AIOps empowers developers and engineers with insights to avoid looking at raw data, thereby improving engineer productivity.
  • Higher customer satisfaction: AIOps solutions play a critical role in enabling customers to use, maintain, and troubleshoot their workloads on top of our cloud services as easily as possible. We endeavor to use AIOps to understand customer needs better, in some cases to identify potential pain points and proactively reach out as needed. Data-driven insights into customer workload behavior could flag when Microsoft or the customer needs to take action to prevent issues or apply workarounds. Ultimately, the goal is to improve satisfaction by quickly identifying, mitigating, and fixing issues.

 

AI for Cloud: AI Ops and AI-Serving Platform showing example use cases in AI for Systems, AI for DevOps, and AI for Customers.

Figure 2. AI for Cloud: AIOps and AI-Serving Platform.

AIOps

Moving beyond our vision, we wanted to start by briefly summarizing our general methodology for building AIOps solutions. A solution in this space always starts with data—measurements of systems, customers, and processes—as the key of any AIOps solution is distilling insights about system behavior, customer behaviors, and DevOps artifacts and processes. The insights could include identifying a problem that is happening now (detect), why it’s happening (diagnose), what will happen in the future (predict), and how to improve (optimize, adjust, and mitigate). Such insights should always be associated with business metrics—customer satisfaction, system quality, and DevOps productivity—and drive actions in line with prioritization determined by the business impact. The actions will also be fed back into the system and process. This feedback could be fully automated (infused into the system) or with humans in the loop (infused into the DevOps process). This overall methodology guided us to build AIOps solutions in three pillars.

AIOps methodologies: Data (Customer/System/DevOps), insights (Detect/Diagnose/Predict/Optimize), and actions (Mitigate/Avert future pain/Optimize usage config/Improve architecture & process).
Figure 3. AIOps methodologies: Data, insights, and actions.

AI for systems

Today, we’re introducing several AIOps solutions that are already in use and supporting Azure behind the scenes. The goal is to automate system management to reduce human intervention. As a result, this helps to reduce operational costs, improve system efficiency, and increase customer satisfaction. These solutions have already contributed significantly to the Azure platform availability improvements, especially for Azure IaaS virtual machines (VMs). AIOps solutions contributed in several ways including protecting customers’ workload from host failures through hardware failure prediction and proactive actions like live migration and Project Tardigrade and pre-provisioning VMs to shorten VM creation time.

Of course, engineering improvements and ongoing system innovation also play important roles in the continuous improvement of platform reliability.

  • Hardware Failure Prediction is to protect cloud customers from interruptions caused by hardware failures.  Microsoft Research and Azure have built a disk failure prediction solution for Azure Compute, triggering the live migration of customer VMs from predicted-to-fail nodes to healthy nodes. We also expanded the prediction to other types of hardware issues including memory and networking router failures. This enables us to perform predictive maintenance for better availability.
  • Pre-Provisioning Service in Azure brings VM deployment reliability and latency benefits by creating pre-provisioned VMs. Pre-provisioned VMs are pre-created and partially configured VMs ahead of customer requests for VMs. As we described in the IJCAI 2020 publication, As we described in the AAAI-20 keynote mentioned above,  the Pre-Provisioning Service leverages a prediction engine to predict VM configurations and the number of VMs per configuration to pre-create. This prediction engine applies dynamic models that are trained based on historical and current deployment behaviors and predicts future deployments. Pre-Provisioning Service uses this prediction to create and manage VM pools per VM configuration. Pre-Provisioning Service resizes the pool of VMs by destroying or adding VMs as prescribed by the latest predictions. Once a VM matching the customer’s request is identified, the VM is assigned from the pre-created pool to the customer’s subscription.

AI for DevOps

AI can boost engineering productivity and help in shipping high-quality services with speed. Below are a few examples of AI for DevOps solutions.

  • Incident management is an important aspect of cloud service management—identifying and mitigating rare but inevitable platform outages. A typical incident management procedure consists of multiple stages including detection, engagement, and mitigation stages. Time spent in each stage is used as a Key Performance Indicator (KPI) to measure and drive rapid issue resolution. KPIs include time to detect (TTD), time to engage (TTE), and time to mitigate (TTM).

 Incident management procedures including Time to Detect (TTD), Time to Engage (TTE), and Time to Mitigate (TTM).
Figure 4. Incident management procedures.

As shared in AIOps Innovations in Incident Management for Cloud Services at the AAAI-20 conference, we have developed AI-based solutions that enable engineers not only to detect issues early but also to identify the right team(s) to engage and therefore mitigate as quickly as possible. Tight integration into the platform enables end-to-end touchless mitigation for some scenarios, which considerably reduces customer impact and therefore improves the overall customer experience.

  • Anomaly Detection provides an end-to-end monitoring and anomaly detection solution for Azure IaaS. The detection solution targets a broad spectrum of anomaly patterns that includes not only generic patterns defined by thresholds, but also patterns which are typically more difficult to detect such as leaking patterns (for example, memory leaks) and emerging patterns (not a spike, but increasing with fluctuations over a longer term). Insights generated by the anomaly detection solutions are injected into the existing Azure DevOps platform and processes, for example, alerting through the telemetry platform, incident management platform, and, in some cases, triggering automated communications to impacted customers. This helps us detect issues as early as possible.

For an example that has already made its way into a customer-facing feature, Dynamic Threshold is an ML-based anomaly detection model. It is a feature of Azure Monitor used through the Azure portal or through the ARM API. Dynamic Threshold allows users to tune their detection sensitivity, including specifying how many violation points will trigger a monitoring alert.

  • Safe Deployment serves as an intelligent global “watchdog” for the safe rollout of Azure infrastructure components. We built a system, code name Gandalf, that analyzes temporal and spatial correlation to capture latent issues that happened hours or even days after the rollout. This helps to identify suspicious rollouts (during a sea of ongoing rollouts), which is common for Azure scenarios, and helps prevent the issue propagating and therefore prevents impact to additional customers.

AI for customers

To improve the Azure customer experience, we have been developing AI solutions to power the full lifecycle of customer management. For example, a decision support system has been developed to guide customers towards the best selection of support resources by leveraging the customer’s service selection and verbatim summary of the problem experienced. This helps shorten the time it takes to get customers and partners the right guidance and support that they need.

AI-serving platform

To achieve greater efficiencies in managing a global-scale cloud, we have been investing in building systems that support using AI to optimize cloud resource usage and therefore the customer experience. One example is Resource Central (RC), an AI-serving platform for Azure that we described in Communications of the ACM. It collects telemetry from Azure containers and servers, learns from their prior behaviors, and, when requested, produces predictions of their future behaviors. We are already using RC to predict many characteristics of Azure Compute workloads accurately, including resource procurement and allocation, all of which helps to improve system performance and efficiency.

Looking towards the future

We have shared our vision of AI infusion into the Azure platform and our DevOps processes and highlighted several solutions that are already in use to improve service quality across a range of areas. Look to us to share more details of our internal AI and ML solutions for even more intelligent cloud management in the future. We’re confident that these are the right investment solutions to improve our effectiveness and efficiency as a cloud provider, including improving the reliability and performance of the Azure platform itself.

 

Note blog reference: https://azure.microsoft.com/en-in/blog/advancing-azure-service-quality-with-artificial-intelligence-aiops/

Uncategorized

How Manufacturing Industry Transformed using Microsoft Dynamics 365

The future of manufacturing will be defined by the quality of investments companies are making today

In the not too distant past, efforts in manufacturing to optimize productivity and increase customer satisfaction were viewed as separate endeavors. Today, the convergence of physical and digital trends is disrupting these kinds of assumptions.

Manufacturers today care about integrated digital and physical systems, improved visibility, increased efficiency, additional flexibility, and lower costs. They want to connect equipment and factories, leveraging data from the factory floor to the customer call center to improve every aspect of their operations.

But this is just the beginning. Digitization is fundamentally changing the way manufacturers do business, enabling a customer-centric approach while optimizing operations. Digitally empowered manufacturers engage customers throughout the product lifecycle from design to field service. They sell value-add services to complement the product sales, opening new revenue streams and strengthening their customer relationships. And they are revolutionizing delivery of these differentiated services, using technology like augmented reality to combine the eyes of a technician in the field with the insights of an expert back at headquarters.

Capitalizing on these trends isn’t limited to large, well-resourced manufacturers. Across all kinds of manufacturing operations, the opportunity to digitize and transform your business has never been more accessible.

Imagine your business transformed

The Microsoft vision for supporting digital manufacturing embraces the seismic shifts in the industry today. We’ve created solutions that provide a unified and flexible approach across front office and production floor processes. Our approach enables transformation in six ways:

 

Optimize supply chain operations through better visibility and collaboration

By collecting, integrating, and visualizing global supply chain data worldwide, manufacturers gain better visibility into their operations from production to sales. For example, one of the world’s largest industrial automation firms found that by automating the collection and analysis of data from remote installations across the petroleum supply chain, they strengthened their competitive advantage with a faster time to market. Improved access to supply chain data is also the basis for better collaboration across production, supply, service, and sales. 

Streamline the management of assets, products, and production

With a consolidated view that unifies process oversight and provides real-time insight, manufacturers can institutionalize efficiency gains and use connected devices to monitor and resolve issues remotely. One leading manufacturer of industrial robots enabled 24-hour continuous uptime using this approach. The additional insights into production and customer usage also allow manufacturers to provide value-added services like ongoing monitoring and proactive support.

Engage customers in powerful new ways

To deliver personalized and contextual engagement across any channel, manufacturers must provide customers with more visibility and build trust through fast and convenient responses. This engagement approach is built on a combination of predictive analytics, the ability  to deliver value-added services at scale, and guided or self-directed service that’s relevant to customer needs. With the implementation of a connected platform for sales through service, a leading home technology manufacturer not only solved potential problems remotely before customers ever felt the impact, but provided custom differentiated offerings based on unique customer usage and purchasing history.

 Transform service centers into profit centers

Thanks to the ever-decreasing cost of IoT sensors, sophisticated mobile devices, and cloud-based data aggregation, manufacturers can improve service quality and margins by offering remote monitoring and proactive maintenance services that supplement break/fix support. By more intelligently coordinating technicians equipped with mobile and virtual reality tools, companies can leverage existing expertise and minimize costly engagements. A leading tire service and manufacturing company found that by combining customer records, technician availability, and back-end inventory in a single mobile-friendly system, it could provide a seamless user experience as well as improve its service delivery.

 

understand their business more deeply, from customer usage through supply chain sourcing and production. With IoT-enabled parts, assets, and products, manufacturers can gain the insights needed to innovate. Data from connected products and equipment can empower developers, engineers, and technicians to collaborate. For example, teams can identify overengineered or faulty components and track product usage in the field to improve future designs. When a leading information and communication technology company implemented remote monitoring, they decreased time to production as well as accelerated the cycle of innovation using a data-driven approach.

Empower employees to work more effectively

When a company can provide 360-degree views of customer assets and work order history, technicians are empowered by a better understanding of not only the job in front of them, but of other similar and successful field service engagements. This goes hand in hand with empowering service agents to provide instant feedback, using machine learning to find and follow similar cases for successful troubleshooting, and scheduling a visit or evaluation. A leading auto manufacturer wanted to save money by unifying their siloed customer service and customer engagement while providing employees with better tools to understand customer sentiment. To accomplish this, it implemented a system to connect production and project management with their customer relationship management systems in order to deliver personalized service and recommendations to their customers. 

Introducing Microsoft Dynamics 365

For manufacturers, Microsoft Dynamics 365 ends the artificial divide between CRM and ERP systems and supplements necessary capabilities with rich analytics, embedded intelligence, and the convenience people expect from consumer apps on their phone or tablet. Dynamics 365 unites the front office and the back office with a single end-to-end system for managing every aspect of your business, at the pace and scale that’s right for you. Digital transformation isn’t accomplished overnight and leveraging current investments is a key component of any successful approach. With Microsoft, you can optimize across all your processes while laying the foundation for connecting advanced technology in the future.

 

Blog reference: https://cloudblogs.microsoft.com/dynamics365/bdm/2017/05/30/manufacturing-transformed-microsoft-dynamics-365
Uncategorized

When do you know that your business needs a CRM software?

Customer Relationship Management is a process of managing or organizing prospects throughout the sales life cycle. The more the advancement in serving the clients, the more will be the payment stream for the Company. Trident’s CRM software solutions happen to be one of the most effective and efficient CRM software that could easily cut overhead costs and give highlights which demonstrate helpful to different business firms.

Many CRM software programs available have several features that can be used or restricted – so in effect a business can modify to make their own CRM software. However, utilizing CRM software gives various advantages to both organizations and customers and that is the reason each genuine business has implemented some of the other CRM applications.

So who can opt for Trident’s CRM software?

A simple response to that question would be “Any business with customers would utilize CRM“. However, in the real world, it is not just as simple as that. Choosing an appropriate CRM software solely depends upon the business process along with a range of profitable features. Below are the type of Businesses that could gain benefit from using Trident’s CRM software solutions.

1- The business that uses any form of Marketing: 

For any business that uses marketing campaigns to promote, sell or advertise their products or services in the market through various communication mediums such as phone, email, etc. Reaching to customers in bulk within a short period as well as recording the response on the go makes it more effective to manage the marketing process.

2- A business that deals with B2B and B2C Sales:

For any business that tends to cope up with the Customers to sell or cross-sell the products. Maintain relevant sales data such as documents, communication records, etc. Identify the process flow starting from Lead up to the deal gets closed.

3- A business that creates Quotations & Invoices: 

Built-in invoicing module to track the quotations and invoices generated against an opportunity. Efficiency to merge the billing details into the document which can further be mailed to the customer right from the CRM software without any need to switch between the applications.

4 – A business that deals in Customer Service: 

For any business that believes in increasing customer satisfaction by helping them in tracking as well as resolving the issues completely. Managing the cases within CRM as well as auto – escalations triggered on a timely basis not only guarantees better customer satisfaction but at the same helps the Management to track resource performance.

5- A business that wants to increase efficiency: 

Well-organized business results in better output which can be ultimately tracked with the help of various Reports, Dashboards, etc. Well-improved or say the advance level of features incorporating in CRM with the latest release of versions has enhanced the CRM which has ultimately proved beneficial for Business growth.

Thus using CRM software gives you numerous benefits to enrich both Business and Customer Relations by serving your customers better with stronger service and support. To know more about how can CRM software help you, you can check out our CRM software solution on https://www.tridentinfo.com/microsoft-dynamics-crm-software-solution/ and contact to our experts on https://www.tridentinfo.com/contact/.

Uncategorized

Enterprise Software Solution for Retail, Hospitality & Manufacturing

An organization consists of various departments like Marketing, Finance, Operations Management, Human Resource and IT. So no matter what the size of the company, it becomes difficult for a company to unify or manages its data. Therefore all companies prefer ERP systems to manage their day-to-day activities to follow the business status comfortably and the same goes for the hospitality, retail, and manufacturing industry. For any business in hospitality, retail, and manufacturing, be it bar services, some steel industries or some food court, maintaining all becomes critically important if they want to boost their profits. In the below context, we will discuss how ERP benefits the Hospitality, Retail, and Manufacturing industry.

Trident’s ERP Benefits

1) Real-Time Data

Organization data is dynamic, it varies every day and every company needs a real-time insight on their data so that any change will be reflected uniformly across all the units of an organization.

ERP can solve this problem as ERP is all about information. It explores and scatters real-time information to all the relevant units, leaving no scope for error or delay.

2) Point of Sale System

A point-of-sale (POS) terminal can be connected to other terminals and a server at another location. It can be expanded with handheld devices wireless linked to the remote area. You can trace several operations in beneficial ways and customize it as your requirements vary over time.

3) Customer Management

ERP plays a significant role in customer management and maintenance. You can order the purchase history of customers and choose the most productive ones, offering them reward points or gift vouchers. The customer history gives you an idea of customer practices that enables you to promote accordingly. ERP also assists you to resolve customer complaints promptly.

4) Employee Management

Employee management is the main advantage of using ERP in any industry. Apart from the challenges of maintaining data of several employees in any industry, the geographical restrictions make it more difficult.

ERP helps in the management of employees through an integrated system. Primary employee details are saved in the ERP system, along with real-time information like shift timings, work hours, their work, etc. All of this helps in managing the employees more efficiently and making interaction with them easier.

6) Inventory Management

ERP saves the data of individual product details so that we can know exactly what is presently in your inventory and which items are out of stock or going to be out of stock. It also traces the expiry date, temperature, etc. and helps in demand forecasting.

We have seen the benefits of ERP, now you must be wondering which ERP software is best to use ? Trident’s Dynamic NAV ERP is easy-to-use software, which helps the recording and processing of multiple financial transactions and processes. It is outlined to overcome inadequacy and heighten your organizational productivity. This ERP software for the Hospitality, Retail and Manufacturing industry is easy to learn, scalable and requires low maintenance.

Uncategorized

Food Manufacturing Industry Need Intelligent ERP to Manage Operations & Manufacturing Process

Nowadays various food industries providing all kinds of food services are established throughout the world. Now food industries have to focus on concerns like fitness and wellness, changing lifestyles, changing favourites, food protection, sustainability, and technology. Aside from serving their customers, they also are involved in managing their processes short and streamlined. In today’s food market with such an immense competition the investment in technologies like ERP for food & beverage is not only a wise choice but a necessary one. In the below context we will address the needs for ERP for Food Manufacturing and its benefits.

Needs of ERP for Food Manufacturing & Managing Operations   

  • Single Integrated System
  • Streamline Production Management
  • Monitoring of the food
  • Enhance Supply Chain Efficiency
  • Manage R&D for Faster Time to Market
  • Strategic Financial Management

Benefits of ERP for Food & Beverage Industry

1) Single Integrated system

ERP makes an organization efficient and simplified its management by addressing data from every single distinct zone of the organization, allowing all data to be accessed by employers in real-time. This also helps the administrators to have overall information of the whole organization. Furthermore, most ERP programming is presently accessible on cell phones which makes it’s more easily accessible.

2) Streamline Production Management

ERP helps in following up with the seasonal demand with simpler production scheduling tools. Furthermore, it reinforces accuracy with automated barcodes, and RFID tags and track a variety of things including the loss of inventory and ingredients

3) Continuous monitoring of food

An ERP ensures the protection of your manufacturing company by continuous monitoring of food for its security, for example, stock details, expiry dates, content properties, and nourishment can be effortlessly observed and verified.

4) Enhance Supply Chain Efficiency

ERP helps in making ingredient and raw material sourcing more efficient and economical by purchasing more strategically with an eye on seasonality and Improving forecast accuracy for just-in-time production. Furthermore, it enhances materials and inventory management to maximize shelf life and reduce waste.

5) Manage R&D for Faster Time to Market

By knowing what ingredients are included in each order with robust batch and lot tracking, ERP Applies discipline to managing recipes throughout development with revision auditing.

6) Enable Strategic Financial Management

It helps in Streamlining accounting operations by gaining visibility into trends with built-in sophisticated analytics and reporting and Optimizing profitability with end-to-end costing analysis.

For food and beverage companies, these hurdles have been especially acute because of the very vital necessity to balance changes that influence cost-effectiveness and product safety. But such concerns are not new to this industry as today’s business environment has become very competitive and nowadays ERP is not just a choice, it has become a necessity. Without an integrated ERP software system, the task is less effective, less economical and has a greater chance of losing to manage both your business plans and long term aims. An investment now in an ERP system can help you further by having more ROI.

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