Style-aware Product Recommender Engine and How Can it Help Interior Designers?

Many of us think that interior designing is just placing few artifacts here and there, changing the paint, and using color-coordinated upholstery. But, the reality is exactly reverse from this. It involves taking multiple experts’ advice, aligning them with the clients’ needs, and coming up with a viable design.

As each individual has a different thought process and advice is also subjective, it’s hard to strike a balance in all these aspects. Here is good news; technology has broken into the world and has allowed professionals, related to the interior designing industry, to have data-driven recommendations. How it happens and how one can make the most of this technology is what we’re going to explain next in the post.

Business Solution: Smart Product Recommendation System

Interior Designing and its Challenges

Interior designing is one field that involves a lot of guesswork to bring the client’s imagination into reality. Clients only say that they need a modern or rustic set-up with extraordinary elements. The onus of giving birth to this imagination falls on the shoulders of the interior designer.

The expert professional can define and categorize the room style, using the technology. But, it’s hard to explain the design in words. To make things worse, an anticipated room style can have a blend of many styles. The trends in the interior designing industry change so fast that it’s hard to design timeless designs.

Whenever a client is hiring an interior designer for a project, the expectation is having something out of the box. They just have a vague idea of the style in their mind and an interior designer needs to grasp that idea and deliver a solution accordingly.

With so many ambiguities, it’s hard to do an accurate representation of room style. So, does it mean that interior designers should keep on struggling that hard?

Of course not!

There is always a way out. Scroll down to know more about it.

The Solution: A Style-aware Product Recommender

As mentioned above, interior designer applications have shown up for the rescue of interior designers. They feature AI-driven and deep learning-based style aware product recommenders. These style recommenders can capture the data from the style image offered by the client and find a similar design. It happens because of their in-built data labeling approach so that subjectivity is well handled.

Also, they include a deep-learning-based classification that focuses on the high volume classes and samples so that the real-time depiction of the visual features reflecting styles is possible. It’s a strategic approach delivered via blending AI and DIP or Digital Image Processing wherein data captured from an image is processed to deliver desired results.

While you’re thinking of bringing these two technologies to your service, don’t forget to hire an application development company or IT service provider that has mastered the art of these two technologies. Stridely is a trusted name to be taken at this front.

This service provider is has explored AI and DIP to a larger extent and has already delivered multiple solutions, based on these two technologies.

Here are some of the key rewards that any end-user of Style Aware Product Recommender, powered by DIP technology, can relish.

  • With this technology, it’s easier to create a home style or design with less possible effort. The application already features tons of images and styles. All you need to do is putting all of them in place. It leverages the entire process of picking up a style and shaping it as per the need of the hour.
  • It makes your business Google compatible. Google algorithm analyses the images and ranks the businesses accordingly. When you’re using a style recommender that has digitally processed images, your business or interior designing firm will have a better chance to get noticed.
  • The style aware product recommender features images in multiple formats. So, customers don’t have to worry about accessibility. No matter which format delivery is required, utmost flexibility is required.
  • Such a high-end image processing and style recommender makes human interpretation of images easier than ever.

How Style-aware Product Recommender Technology Works?

Now that it’s clear that Style Aware Product Recommender is a game-changer for an interior designing domain, it’s time to understand how it works. Basically, its modus operandi is based on two things: data collection/labeling and Training Room Style Estimator (RoSE).

  • Data collection and labeling

To begin with, an extensive data set of room styles and décor are collected. Mostly, house websites and designers of in-house designers are used to build this database.

As subjectivity is of a higher sort here, each image is tagged by a minimum of 10 experts with specific terms. These specific terms are commonly loosely defined style terms of trending names of the interior industry. The gathered images are then categorized into styles.

At large, the most widely used home décor styles are coastal, rustic, modern, traditional, cottage, industrial, and eclectic.

While this style segregation is done, details about fabric, material, flooring, color scheme, and furniture style are explained.

  • Training Room Style Estimator (RoSE)

Once the desired style images are collected, the next step is to build a training room style estimator that can classify the entire room style. It’s done with the help of deep neural networks. By using the customer inputs and gathered data, the style estimator designs the whole room style in no time.

Things to Keep In Mind

There is no second opinion that DIP and AI-driven style aware recommender is going to make interior designing a lot more simplified and easy. But, it’s not always a cakewalk. If attention is not paid to certain aspects, your entire effort will go in vain. Here is what should be kept in mind while using AI and DIP for style aware recommenders.

  • Make sure the digital image processing is of a higher grade. If not, it will deliver poor results. Also, while you’re supporting multiple formats, try to provide as much as flexibility possible.
  • Image marking should be done properly as overlapping of information will confuse the system and it’s hard to get accurate results.
  • Hire a reliable resource that can provide high-end image processing. Stridely Solution can help you out in this task. It is capable to offer smart product recommendation solutions, based on the images. This solution comes with amazing integration ability that can be used using APIs and SDKs.

Talk to Experts at Stridely

The image-based recommendation or digital image processing system of Stridely Solutions is based on Deep Learning and Natural Language Processing. These two are the cutting-edge technologies to use when image-based recommendation system needs to build.

Also Read: Natural Language Processing for Manufacturing Industry

There is one more extraordinary feature about the digital image processing of Stridely Solution and it’s the formation of a Deep Neural Network. As mentioned above, style-aware product recommender needs to create room style estimator with the help of deep neural networks.

Stridely Solutions brings modern deep neural networks to your service for this job, using which one can easily predict the next actions, after a certain action. We can also introduce cross-category personalization in the style aware product recommender. Because of this feature, interior designers can give more personal touch to the designs and make them more accurate.

By integrating the facility of reporting and analytics in the tool, such a solution can prevent you from struggling hard to figure out which style or décor is winning customers’ hearts.

As Stridely Solutions offers constant technical support, AI adoption is risk-free and quick. We have a team of expert AI and digital image processing professionals to handle your needs. Let our expertise help you out in creating an image-based style recommender for your interior firm and enjoy better ROI, higher revenue, and simplified revenue.

Ending Notes

Interior designing may seem a piece of cake but it’s a very tedious and brainstorming field wherein it takes a lot to understand what a customer is trying to convey. Designers need to put extra effort to turn the clients’ imagination into reality.

The introduction of an interior designing application, supported by style aware product recommender, has made the job a little more simple and easy to accomplish. Style aware product recommender is a technology, shaped using the AI and digital image processing, that allows interior designers to make accurate and realistic recommendations.

Give it a try and witness the magic by yourself. But, one has to be very diligent as digital image processing, when not done right, can mess –up the whole thing. We would suggest you place your bet on an experienced digital image processing service provider, like Stridely Solutions.

The nitty-gritty of image-based product recommendation solutions at Stridely is powered by AI, deep learning, and natural language processing. They will help you create a high-end image-based product/style recommender and make the job of interior designing effortless than ever. So, don’t tangle in vague and inadequate descriptions that hinder your process. Deliver the best-of-breed home designing solutions.



A Detailed Overview of How SAP Conversational AI Chatbot (SAP CAI) Works for Your Business

For beginners, SAP Conversational AI is a high-end chatbot building tool using which end-users can develop high-end conversational agents in the business application and provide timely assistance. A highly tech-infused web-based interface is offered for this task.

SAP CAI is offered with SAP’s PaaS subscription and remains isolated in a dedicated cloud ecosystem so that it hinders the ongoing work process as little as possible. SAP CAI develops bots that get along well with assorted SAP Cloud platforms such as data management, analytics, and document management.

Also Read: SAP Analytics Cloud: SAP Journey for Cloud Analytics

The blog converses its focus on educating aspiring SAP CAI users on its deployment procedures and key functions involved in the job.

Which key concepts are used for SAP CAI deployment?

SAP CAI deployment is guided based upon the expressions, entities, and intents explained.  By expression, we mean the sentence that the user enters while entity refers to a keyword extracted from expression.

Intent means expression box featuring same expressions constructed differently.  From a functional point of view, the intent is the spine of the chatbot’s understanding as it represents the idea that a bot can easily understand.

Also Read: Chatbots for Sales and Monitoring

The Detailed Overview of Integrating SAP CAI with Targeted System

SAP CAI integration into the existing IT ecosystem is based on the usage of four segments: Bot builder, bot logic, NLP, and Bot connector.  These all four segments blend to make SAP CAI work for an organization.

Here is a detailed overview of the roles played by these four segments in SAP CAI introduction in a given IT landscape:

1.  NLP Engine

NLP stands for Natural Language Processing (NLP) and is used widely to assist AI in understanding the thoughts and ideas of the user despite the wrong sentence phrasing.

Before NLP came into being, Chatbots used to follow a rule-based framework wherein accurate input was needed.

Also Read: Natural Language Processing for Manufacturing Industry

Any inaccuracies are used to make the process cumbersome and tedious. SAP CAI uses an NLP engine that captures actionable data related to entities, user sentiments, and specific intents. It makes SAP CAI more customer-oriented.

2.  Bot Builder

Often referred to as a dialogue runtime, bot builder is a graphical user interface offering end-users a platform to generate effective and continual conversation flow. This is the place where businesses guide the chatbot upon a certain user request. It features a zero-code   UI that speed-up the bot development process.

Download Guide: BOT Framework

3.  Bot Logic

Hosted on SAP cloud, bot logic is a highly modernized middleware application handling jobs like calling out the OData service and providing information to SAP CAI.  It fetches data from the back-end data warehouse or system.

While one is planning to integrate SAP CAI in the IT infrastructure, the use of bot logic allows developers to introduce extra-customized logic to the pre-defined bot builder logic.  The best thing about bot logic is that it can be written in any language and can be used as a Web API.

4.  Bot Connector

Lastly, we have a bot connector that is crucial for connecting SAP CAI with various other communication platforms like Slack, WhatsApp, Telegram, and many more.

Businesses having specific requirements can build bot connectors from scratch on the premise.  Because of this, 100% customization in SAP CAI implementation can be achieved.

The below mentioned image shows the interconnectivity of all these elements:

(Source: SAP)

Once you have gathered all these resources, follow the below-mentioned steps to develop an SAP CAI solution:

  • Recognize the implementation scenario
  • Develop an FAQ bot and upload the key FAQ document
  • Optimize the uploaded documents as per the bot’s requirements
  • Make changes to the bot skills
  • Test the bot extensively
  • Connect the application with multiple channels
  • Deploy, monitor, and improve chatbot with changing needs

Here is a crisp image to explain the entire process:

 (Source: SAP)

The Final Word

SAP CAI is a nice solution to improve responsiveness and customer satisfaction rate for any business. This chatbot system can reduce the burden of your customer support team and increase the turnaround time, while reducing the customer assistance operation cost at the same time.

If you want Stridely Solutions to deploy SAP conversational AI chatbot for your enterprise, contact our experts and let us know. Our skipped team is always ready to boost your business’s capabilities and ROI.

Discovering the Significance of Microsoft Power Platform in Driving Business ROI

There is hardly anyone that can turn down the efficacy of Microsoft Power Platform in leveraging the business success and transforming the ROI. With the help of three highly notable solutions, Power App, Power BI, and Power Automate, Microsoft Power Platform and enabled businesses of the sort to attain real value and reap multiple benefits.

This post is an attempt to provide you the deeper insights on the usefulness of the Microsoft Power Platform and how it let businesses churn maximum return on done investments.

Success Case: Power Platform Utilization for Business Process

Role That Power Platform Plays In Bringing Upright Business Value by Using Data and Insights

In a data-driven world, it’s hard to sustain and grow when the art and science of leveraging data for various purposes like driving more ROI, making most of the available data, and easy accessibly is not known.

Actions like using cloud storage and having customized apps have allowed businesses to make most of the offered data.

Microsoft Power platform is one of the most notable ways to come up with flying colors at each front, where data processing is involved.

Also Read: Streamline processes& tasks to boost your business productivity, with Microsoft Power Automate!

By offering low-cost, easy-to-implement, and automated solutions, the Power platform has managed to offer an opportunity to increase the ROI.

Offerings of Microsoft Power Platform 

Microsoft understands the data-related needs can be varied to a large extent in a different kind of businesses ecosystem. Thus, it offers three assorted cloud-based services to cater to every kind of need. Here is a close overview of those three offerings.

1. Power Apps

Bliss for all those who want to create custom business apps without getting indulged in tedious coding, Power App is a great tool to have. Using it, one can build web and mobile apps with the least possible expertise.

Also Read: All About Power Apps Ideas, Microsoft’s latest AI-powered assistant to let people code using natural language!

2. Power BI

This is one of the most-loved and applauded business intelligence platforms present in the market. It is used majorly to unify the data gathering process, regardless of the number of platforms. It provides a centralized data dashboard wherein one can gain deeper insights into interactive data. For all the data, businesses can have a single dashboard, which is a great way to keep tons of data processing hassles at bay.

Also Read: Benefits of Microsoft Power BI

3. Power Automate

Want to set your team free from the redundancy of repetitive jobs? Try Power Automate. It brings the best-of-breed workflow automation and seamlessly integrates it to the existing business apps. Because of this, businesses are going to enjoy more productivity at fewer efforts.

Watch more: Workflow Automation using Power Automate

Key Business Benefits of Microsoft Power Platform 

Have a look at the advantages of using the Microsoft Power Platform:

  • It comes as a ready-to-use solution and doesn’t demand any installation and set-up costs. As the tools are cloud-deployed, no in-house infrastructure is needed. All these things lead to huge savings.
  • Data, from multiple resources, will be available in a centralized place. So, businesses don’t have to deal with inadequate data accessibility.
  • The automation of menial yet crucial tasks has allowed businesses to enjoy maximum productivity. Goal fulfillment becomes quick and easy.
  • MeetingGDPR compliance is no longer a tedious task as it’s fully automated in the Power platform. So, while you enjoy enhanced application development, better ROI, and more productivity, you adhere to all the compliances.

Real-time Example of Power Platform’s Excellence 

The above-mentioned perks are not stated without any factual backing. There are tons of businesses that have already experienced the operational superiority that Microsoft Power Platform can introduce to you.

RecentlyForrester Consulting made efforts to measure the impact of Microsoft Power Platform in increasing the company’s ROI. Some of the key inputs of the Total Economic Impact study (March 2020) and ROI analysis, done for the firm are here for your reference.

Total six organizations took part in the study and it was observed that the low application generation time and cost helped organizations to save a huge chunk of investment. They have not needed an expert for the job. The rookie developers were able to accomplish the task with full perfection.

Speaking of quality, the low code apps, built using Power Apps, were capable to generate expected results. In some cases, it was better than what was projected.

The less time to market enhances the customer experience and enabled businesses to have prompt service delivery. These two things made a positive impact on the revenue.

Are You Too Carried Away? 

Well, we won’t blame you if you’re excited to try the Microsoft Power platform, after reading all these perks. But, you need to hold on to your thoughts as there are certain things to check out before you make any further move.

It’s very vital to figure out your organization’s actual needs and move ahead accordingly. Try to get the answers to the below-mentioned questions before you’re all set to bring the Microsoft Power platform to your service.

  • Do you need anyindustry-specific solutions to cater to special needs?
  • Are you not able to synchronize various data sources and facing operational complexity?
  • Is your team is ready for an operational change?
  • Will the entire Power Platform suite is needed or do you need a specified tool?
  • How about the spending capacity?
  • Do you have a security strategy to help while you migrate to the Power platform?

We know this could be too overwhelming but sorting out the above-mentioned points is more than important. If you’re having a tough time making this happen then let Stridely Solutions help you out.

Being a certified Microsoft partner and a seasoned Microsoft Power platform consultant and deployment service provider, it’s going to trim down the hassles involved in bringing the Microsoft Power platform at your disposal. Its expert team will delve deep into the organizational needs and come up with an optimized solution. This time-bound and need-focused delivery of the Microsoft Power platform double-up the ROI and let businesses enjoy an added bout of benefits.

Summing up

In one shot, businesses can build customized apps, automate the menial data, and make most of the available data by using the Microsoft Power platform. The way it empowers an organization is commendable and deserves a huge round of applauds. However, there is one aspect that we all tend to ignore and it is the successful and need-based implementation of the Microsoft Power platform. Without ensuring this factor, it’s hard to reap the expected perks.

Taking the help of an expert is what veterans suggest. Stridely is a trusted name to bank upon when one needs to make Microsoft Power Platform dance on their tunes.


Microsoft Azure Logic Apps: Everything a Business Needs to Know

Microsoft Azure Logic Apps are designed to facilitate individuals with a mechanism for easy workflow application and integration in the cloud system. Besides, it also eases workflow configuration for visual designers. The inbuilt enterprise integration connectors allow individuals to handle the workflow by leveraging logic creation and connectors.

Azure Logic Apps is an IPAAS platform. On integrating it to your existing system you won’t have to deal with scalability, hosting, management, or availability. They automatically scale up for managing the demand. Moreover, this application is serverless. In other words, the developers aren’t required to manage the underlying infrastructure which means they can focus on their business in a better way. It results in code simplicity while speeding up the development process.

Also Read: MS Azure Cloud Automation — Things to Consider and Best Practices

Now let’s learn about various elements of Logic App –

Integration Account

The Apps’ Integration account is suitable for B2B solutions and Enterprise Integration. Integration of Logic Apps and Integration account allows individuals to store multiple artifacts and create B2B workflows, while integrating with SaaS applications of a Third-party.

Sentimental Analysis using Logic Apps

The Sentiment Analysis allows users to manage the ranking of tweets using Logic Apps and hashtag. Azure Logic App triggers when is tweet is written using a hashtag. The Cognitive Service of the apps scores the tweet and the score data is sent for analytics to Power BI.

Integration Service Environment of Logic App

ISE or the Integration Service Environment allows users to run their apps that have the potential of interacting with the virtual machines of the Azure Virtual Network. The storage of public app is cut off from public services Logic Apps which results in improved performance of the apps.

Azure Logic Apps Log Analytics

Log Analytics is potentially used for executing the Log Queries. Users need to turn on the Log Analytics when the Logic App is being created. It allows users to monitor and conduct diagnostics for Logic Apps. Additionally, it also offers the advantage of log query for debugging. Moreover, Log Analytics configuration gives users the complete view of the activities like number of failed actions, number of failed triggers, etc.

Also Read: How to Accelerate Time to Value for your Hybrid IT Strategy with Microsoft Azure?

Managing and monitoring Azure Serverless Applications with Serverless360

Azure Logic Apps are created for solving various challenges of the businesses with easy automation and workflow design but monitoring and managing the Logic Apps in context of application isn’t allowed on the Azure Portal. For solving this Challenge individuals need to go for the Serverless360. It is designed specifically for monitoring and managing Serverless Azure Applications. Serverless360 allows users to monitor and manage the Logic Apps efficiently.

Read more: Achieve more with Serverless Applications: Build on Azure and Publish with PowerApps

Top reasons to use Azure Logic Apps as enterprise integration platform

1.  It’s an affordable integration platform

Azure Logic Apps are counted among the most cost-effective platforms available in the market for enterprise integration. It doesn’t require any setup costs. Unlike other services users aren’t required to pay anything at the upfront. Plus, there is no infrastructure maintenance cost as Microsoft manages it on behalf of the users.

Furthermore, users aren’t required to bear cost of the Logic Apps resources that they won’t be using anyway. It’s a serverless engine hence users are billed as per their consumption. In other words, users pay only for what they use. Individuals having an Office 365 connector featuring ‘When a file or item is modified’ trigger are charged only for the modifications made in the files are actually modified. File modification brings the trigger into action.

Besides, Logic Apps users also have the advantage of testing and developing integration features before workflow deployment. And the best part is that there are no additional costs here.

Also Read: Business Processes with Office 365

In a nutshell, Logic Apps being a serverless engine have the potential of bringing down enterprise integration cost and reduce the number of administrative manual tasks. Resultantly, users can focus more on refining their business logic and code deployment.

2.  Azure Logic Apps offer flexibility and scalability

Azure Logic Apps is a cloud-based computing service which makes it highly flexible in terms of scalability. Unlike the traditional enterprise app development users need not to worry about scaling, monitoring, and hosting. Azure Logic Apps is a unique serverless solution that takes care of all these elements.

Moreover, this Logic Apps scales out the workflow automatically while managing the resources, thus, eliminating the need for virtual machines. Also, it can handle multiple concurrent functions easily and efficiently within seconds, allowing the users to match triggers and changing events in real-time. There is no need for any manual configuration here.

Multiple actions, inactivity, or skipped actions don’t affect the performance of Azure Logic Apps especially when it comes to scalability. It is indeed one of the most reliable integration platforms available in the market.

3.  Interactive design for better workflow

Azure Logic Apps comes with smart drag-and-drop interface. Its unique design creates simple workflows with the help of in-built features. The solutions allow users to ensure automated system integrations and business processes using pre-built connectors. Moreover, it requires minimal coding and the code is automatically generated in the background.

Logic Apps deployment slays out the workflows which starts with a trigger to execute the business workflows like social media posts filtering. The connectors used in the process facilitate integration or the process of taking action for achieving a desired target. It could be sending the filtered posts to a particular messenger channel team, connecting visual processes and others.

Logic Apps allows the developers with high-end expertise to check the coding view of different workflows that take place in the Azure Portal. It allows the users to edit or create definitions in JSON (JavaScript Object Notation) using Azure PowerShell commands and Resource Manager Templates. It is ideal for a particular set of tasks.

Additionally Logic Apps facilitates users with prebuilt templates that feature common patterns allowing the users to create maximum number of workflows in the real-time. Users can also consider implementing a personal template for setting organizational day to day reminders, creating to-do lists for critical works, and automating tasks to single user approval.

Also Read: Azure SignalR Service for ASP.NET 

4.  In-built tools for historical overview

The monitoring tools that are in-built in Azure Logic Apps make it easier for the individuals to access historical details of the integrated apps, services, data, and processes. The system makes it easy for the individuals to check current status, performance, trigger history, run history, etc. quickly and easily. Its integration with the cloud allows authorized users to access all important information anytime, anywhere.

Besides, users can get a detailed overview of all their logic apps on using Azure Management Solution on its Operations Management Suite that features report generation of Power BI, custom queries tracking, failure and success graph trends, and a history of your triggers, runs, failures, and actions.

5.  Excellent enterprise connectors

There are over 200 enterprise connectors in logic apps that can be used for connecting with any service, app, data, or device connected it. These connectors can be used for authorizing the logic apps for connecting, accessing and expanding cloud and on-premises apps’ capabilities. The entire process is driven towards automating the tasks with the help of data created by users and the ones existing in various disparate systems.

Logic App connectors can be considered as building blocks for connecting the resources and defining the actions that users are desirous of triggering on every end. Let’s say – a user wishes to set up a new calendar in Outlook for an event. And to add a new object in the Dynamics CRM they use a pre-built Dynamics and Outlook connector for allowing interaction of the services. In addition, it also helps in defining the actions on each end using a list of triggers and connector actions that are pre-built in the system.

Connectors eliminate and reduce potential enterprise integration challenges that connect the devices, services, apps, and data together as the app can be easily used by both non-coders and developers. The best thing is that Azure Logic Apps features highest number of connectors than any other integration platform in the market. Its connectors are ideal for SaaS apps such as Outlook, Dynamics, Dropbox, Salesforce, Twitter, and others.

6.  Gives users the benefit of enterprise messaging

Azure Logic Apps facilitates its users with B2B integration features through the Enterprise Integration Pack which is ideally created to enable the users exchange messages easily without any hassle irrespective of the protocols and formats they are using. The inputs received from the enterprise apps is decoded by the pack and then its processes using encodes and workflows. The final is interpreted into a standard target systems format.

Business to business workflows are efficiently handled with the help of XML transmission and processing. B2B exchanges come with standard protocols like X12, AS2, and EDIFACT. The advance system secures the messages using digital signatures and advance encryption.


Azure Logic Apps is updated constantly with new templates, connectors, and features to enhance the cloud integrated workflows constantly. With increasing number of individuals adopting Cloud based solutions, Logic Apps have turned out to be an amazing solution for the businesses. To start utilizing its full potential, contact Stridely Solutions – Microsoft’s Gold Partner for Cloud Platform Competency – today.