When working with Dynamics 365 CRM, one common request from users and admins is:“How do we get a Recycle Bin to recover accidentally deleted records?” Unlike SharePoint or Windows, Dynamics 365 doesn’t come with a native Recycle Bin. But that doesn’t mean you’re out of luck! There are a few smart ways to implement soft delete or restore capabilities depending on your organization’s needs. In this blog, we’ll explore all the available options — from built-in Power Platform features to custom approaches — to simulate or enable Recycle Bin-like functionality in Dynamics 365 CRM. Option 1: Use the Built-in Dataverse Recycle Bin (Preview/GA in Some Regions) Microsoft is gradually rolling out a Recycle Bin feature for Dataverse environments. How to Enable: Option 2: Implement a Custom Recycle Bin (Recommended for Full Control) You can also write a bulk delete after 15-30 days to actually clear these records from Dataverse. Option 3: Restore from Environment Backups If a record is permanently deleted, your last line of defence is a full environment restore. Not ideal for frequent recovery, but lifesaving in major accidents. Tips and Tools you can use. If you also want to track who deleted what and when, Auditing might be helpful. You cannot restore deleted records using this. It is useful only for traceability and compliance, not recovery. XrmToolBox Plugins like Recycle Bin Manager simulate soft delete and allow browsing deleted records. While Dynamics 365 CRM doesn’t provide a built-in Recycle Bin like other Microsoft products, there are several reliable ways to implement soft-delete or recovery mechanisms that fit your organization’s needs. Whether you leverage Dataverse’s native capabilities, create a custom status based Recycle Bin, or track deletions through auditing and backups, it’s essential to plan ahead for data protection and user experience. By proactively enabling recovery options, you not only safeguard critical business data but also empower users with confidence and control over their CRM operations. What’s Your Approach? Have you built your own Recycle Bin experience in Dynamics 365? Share your thoughts or tips in the comments below! We hope you found this blog useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfronts.com.

When working with Microsoft Dynamics 365 Business Central, string manipulation is an essential part of everyday development. From reversing names to formatting messages, AL provides multiple ways to handle text. In this blog, we’ll explore different approaches to string handling through practical examples, including custom logic and built-in AL string functions. Why String Handling Matters in Business Central Strings are everywhere—customer names, item descriptions, invoice messages, and more. Being able to manipulate these strings efficiently allows developers to: Let’s dive into some real-world AL examples where we extend the Customer List page with new actions for string manipulation. Part 1: Custom String Handling Approaches 🔹 a) Method 1: Using List of Text We can reverse a string by adding each character into a List of [Text] and then calling .Reverse(). action(CFS_ReverseSelectedCustomerName) {     Caption = ‘Reverse Customer Name’;     ApplicationArea = All;     trigger OnAction()     var         StringList: List of [Text];         StringLetter: Text;         ReversedString: Text;     begin         ReversedString := ”;         foreach StringLetter in Rec.Name do             StringList.Add(StringLetter);         StringList.Reverse();         foreach StringLetter in StringList do             ReversedString += StringLetter;         Message(ReversedString);     end; } This approach is useful when you want more control over the collection of characters. Output: Method 2: Using Index Manipulation Here, we iterate through the string from end to start and build the reversed string. action(CFS_NewIndex) {     Caption = ‘New Index’;     ApplicationArea = All;     trigger OnAction()     var         ReversedString: Text;         i: Integer;     begin         for i := StrLen(Rec.Name) downto 1 do             ReversedString += CopyStr(Rec.Name, i, 1);         Message(ReversedString);     end; } A more direct approach, simple and efficient for reversing text. Method 3: Using CopyStr The CopyStr function is perfect for extracting characters one by one. action(CFS_NewText) {     Caption = ‘New Text’;     ApplicationArea = All;     trigger OnAction()     var         ReversedString: Text;         i: Integer;     begin         for i := StrLen(Rec.Name) downto 1 do             ReversedString += CopyStr(Rec.Name, i, 1);         Message(ReversedString);     end; } Part 2: Built-in AL String Functions Beyond custom logic, AL offers powerful built-in functions for working with text. Let’s explore a few. Evaluate Examples The Evaluate function converts text into other datatypes (integer, date, boolean, duration, etc.). action(CFS_EvaluateExamples) {     Caption = ‘Evaluate Examples’;     ApplicationArea = All;     trigger OnAction()     var         MyInt: Integer;         MyDate: Date;         MyBool: Boolean;         MyDuration: Duration;         Value: Text;         OkInt: Boolean;         OkDate: Boolean;         OkBool: Boolean;         OkDur: Boolean;     begin         Value := ‘150’;         OkInt := Evaluate(MyInt, Value);         Value := ‘2025-09-01’;         OkDate := Evaluate(MyDate, Value);         Value := ‘TRUE’;         OkBool := Evaluate(MyBool, Value);         Value := ‘3d 5h 45m’;         OkDur := Evaluate(MyDuration, Value);         Message(           ‘Integer = %1 (Ok: %2)\Date = %3 (Ok: %4)\Boolean = %5 (Ok: %6)\Duration = %7 (Ok: %8)’,           MyInt, OkInt,           MyDate, OkDate,           MyBool, OkBool,           MyDuration, OkDur);     end; } Super handy when parsing user input or imported text data. String Functions Examples Now let’s use some of the most common string functions in AL. action(CFS_StringFunctions) {     Caption = ‘String Functions’;     ApplicationArea = All;     trigger OnAction()     var         SourceTxt: Text[100];         CopyTxt: Text[50];         DelTxt: Text[50];         Len: Integer;         SubstTxt: Text[100];         UpperTxt: Text[50];         LowerTxt: Text[50];     begin         SourceTxt := ‘Dynamics 365 Business Central’;         CopyTxt := CopyStr(SourceTxt, 1, 8); // “Dynamics”         DelTxt := DelStr(SourceTxt, 1, 9);   // “365 Business Central”         Len := StrLen(SourceTxt);            // 29         SubstTxt := StrSubstNo(‘Hello %1, welcome to %2!’, ‘User’, ‘Business Central’);         UpperTxt := UpperCase(SourceTxt);    // “DYNAMICS 365 BUSINESS CENTRAL”         LowerTxt := LowerCase(SourceTxt);    // “dynamics 365 business central”         Message(           ‘Original: %1\CopyStr: %2\DelStr: %3\Length: %4\Substitute: %5\Upper: %6\Lower: %7’,           SourceTxt, CopyTxt, DelTxt, Len, SubstTxt, UpperTxt, LowerTxt);     end; } These built-in functions save time and make string handling straightforward. To conclude, whether you’re reversing a customer’s name, converting text into other data types, or formatting user-friendly messages, AL’s string manipulation capabilities are both flexible and powerful. By combining custom logic with built-in functions, you can handle almost any text-related scenario in Business Central. Try experimenting with these functions in your own extensions—you’ll be surprised how often they come in handy! We hope you found this blog useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfronts.com.

Let’s say you configured a Dynamics 365 Sales or Project Operation or a field service trial for a client demo to save your efforts on creating sample data dynamics gives you an option to add data in any dynamics 365 environment, you can either choose to install the sample data while creating the environment however if you forgot to do so, here is how you can add sample data within your dynamics 365 environment.  Step 1 – Go to https://admin.powerplatform.microsoft.com/environments select your dynamics 365 environment and click on view details.  Step 2 – On the details page click on setting.  Step 3 – On the setting page under data management you will see an option named sample data, click on it.  Step 4 – Click installed and after a few minutes sample data will be added within your dynamics 365 environment.  Similarly, if sample data is already installed and you wish to remove it, you will see a button Remove sample data instead of Install sample data.  Hope this helps! 😊  I hope you found this blog useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfronts.com.

In project-based businesses, reporting is the final word. It tells you what was planned, what happened, where you made money, and where you lost it. But ask any project manager or CEO what they really think about project reporting today, and you’ll hear this: “It’s late. It’s manual. It’s siloed. And by the time I see it, it’s too late to act.” This is exactly why AI is no longer optional; it’s essential. Whether you’re in construction, consulting, IT services, or professional engineering, AI can elevate your project reporting from a reactive chore to a strategic asset. Here’s how. The Problem with Traditional Reporting. Most reporting today involves: Enter AI: The Game-Changer for Project Reporting AI isn’t about replacing humans; it’s about augmenting your decision-making. When embedded in platforms like Dynamics 365 Project Operations and Power BI, AI becomes the project manager’s smartest analyst and the CEO’s most trusted advisor. Here’s what that looks like: Imagine your system telling you: “Project Alpha is likely to overrun budget by 12% based on current burn rate and resource allocation trends.” AI models analyse historical patterns, resource velocity, and task progress to predict issues weeks in advance. That’s no longer science fiction—it’s happening today with AI-enhanced Power BI and Copilot in Dynamics 365. Instead of navigating dashboards, just ask: “Show me projects likely to miss deadlines this month.” With Copilot in Dynamics 365, you get answers in seconds with charts and supporting data. No need to wait for your analyst or export 10 spreadsheets. AI can clean, match, and validate data coming from: No more mismatched formats or chasing someone to update a spreadsheet. AI ensures your reports are built on clean, real-time data, not assumptions. You don’t need to check 12 dashboards daily. With AI, set intelligent alerts: These alerts are not static rules but learned over time based on project patterns and exceptions. To conclude, for CEOs and PMs alike: We can show you how AI and Copilot in Dynamics 365 can simplify reporting, uncover risks, and help your team act with confidence. Start small, maybe with reporting or forecasting, but start now. I hope you found this blog useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfronts.com.

In any organization, maintaining accurate inventory records is critical—not only for operational efficiency but also for financial accuracy, reporting, and compliance. In Dynamics 365 Finance and Operations (D365 F&O), inventory is tracked from two perspectives: Physical inventory and financial inventory. While these two should ideally be aligned at all times, mismatches are common in practice. Whether caused by pending invoices, misconfigured settings, or improper transaction handling, discrepancies between physical and financial inventory can create confusion, misstatements in financials, and operational bottlenecks. This blog explains why these mismatches occur, how to detect and resolve them, and what best practices you can adopt to ensure alignment between physical and financial inventory in Dynamics 365 F&O. Before diving straight into the blog let us first understand what these Inventory mean so it becomes essential to understand the distinction between the two inventory layers in D365 FNO: A mismatch occurs when the physical quantity and the financial value or quantity of an item do not align, leading to inconsistencies between what’s physically available and what’s financially accounted for. Reasons for Mismatch How to Detect the Mismatch The below points can be considered to identify mismatches between physical and financial inventory in D365 FNO: Tips to resolve the mismatch Let’s take an example to get the better understanding: Suppose a business receives 100 units of an item on a purchase order. The receipt is physically posted, making the stock available in inventory. However, if the invoice is not posted, no financial value is recorded. This results in a positive physical quantity but zero financial value. Once the invoice is posted and inventory is closed or recalculated, the financial value is updated, resolving the mismatch. Best Practices to Prevent Inventory Mismatches To conclude, Inventory mismatches between physical and financial layers in D365 F&O are more than just system issues—they are business-critical challenges. These discrepancies can distort financial reporting, mislead operational planning, and expose the organization to audit risks. The good news is that they are entirely preventable. By understanding the causes, implementing regular checks, and following best practices such as prompt financial posting and scheduled inventory closes, you can maintain accurate, reliable inventory data. Achieving alignment between your physical and financial inventory ensures operational clarity and financial integrity—foundations that are essential for confident decision-making and long-term success. Hope this helps. Thanks for reading! We hope you found this blog useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfonts.com.

Microsoft Dataverse is a powerful data platform that supports secure and scalable data storage for business applications. However, raw data imported into Dataverse often needs transformation—cleaning, reshaping, filtering, or merging—to make it useful and reliable for apps and analytics.  In this blog, we’ll show you how to apply transformations to data before or after it reaches Dataverse using tools like Power Query, Dataflows, and business rules—ensuring you always work with clean, structured, and actionable data.  What is Data Transformation in Dataverse?  Why Data Transformation Matters Data transformation refers to modifying data’s structure, content, or format before or after it’s stored in Dataverse. This includes:  Step-by-Step Guide: Connecting a Database to Dataverse  Step 1: Open the Power Apps and select the proper Environment  Step 2: Open Dataflow in Power Apps and create a new Dataflow  Step 3: Connect to the Database using SQL Server Database.  Step 4: Add the required credentials to make the connection between the database and Dataverse.  Step 5: Add the transformation in the Dataverse  Step 6: Add proper mapping of the column and find the unique ID of the table   Step 7: Set the schedule refresh and publish the Dataflow.  Step 8: Once Dataflow is published, we can see the table in the Power apps  To conclude, transforming data in Dataverse is key to building reliable and high-performing applications. Whether using Power Query, calculated columns, or Power Automate, you can ensure your data is clean, structured, and actionable.  We hope you found this blog useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfonts.com. Ready to improve your Dataverse data quality? Start with a simple dataflow or calculated column today, and empower your business applications with better, transformed data.

Modern applications demand seamless, real-time data access. Microsoft Dataverse—the data backbone of the Power Platform—makes it easier to build and scale low-code apps, but often your enterprise data resides in legacy databases.  Connecting a database to Dataverse enables automation, reporting, and app-building capabilities using the Power Platform’s ecosystem. In this blog, we’ll walk you through how to connect a traditional SQL database (Azure SQL or On-Premises) to Microsoft Dataverse.  What is Dataverse?  Dataverse is Microsoft’s cloud-based data platform, designed to securely store and manage data used by business applications. It’s highly integrated with Power Apps, Power Automate, and Dynamics 365.  Key Features:  Why Connect Your Database to Dataverse?  Step-by-Step Guide: Connecting a Database to Dataverse  Step 1: Open the Power Apps and select the proper Environment  Step 2: Open Dataflow in Power Apps and create a new Dataflow  Step 3: Connect to the Database using SQL Server Database.  Step 4: Add the required credentials to make the connection between the database and Dataverse.  Step 5: Add proper mapping of the column and find the unique ID of the table   Step 6: Set the schedule refresh and publish the Dataflow.  Step 7: Once Dataflow is published, we can see the table in the Power apps  To conclude, connecting your database to Dataverse amplifies the power of your data, enabling app development, automation, and reporting within a unified ecosystem. Whether you need real-time access or periodic data sync, Microsoft offers flexible and secure methods to integrate databases with Dataverse.  Start exploring virtual tables or dataflows today to bridge the gap between your existing databases and the Power Platform. Want to learn more? Check out our related guides on Dataverse best practices and virtual table optimization. We hope you found this blog useful. If you would like to discuss anything further, please reach out to us at transform@cloudfonts.com.

As Business Central continues to advance, its features and functionalities are also evolving. One significant enhancement is the introduction of a new series system. This update is designed to simplify the process of assigning numbers to various documents, ensuring both consistency and efficiency. In this blog, we’ll explore the core aspects of this new number series and how you can leverage it in your Business Central environment. Understanding the Basics Number series in Business Central serve as unique identifiers for documents such as sales orders, purchase orders, and invoices. These identifiers play a crucial role in effectively tracking and managing documents. With the introduction of the new number series, improvements have been made to enhance flexibility and provide better control over these identifiers. What’s New? Previously, Business Central used the NoSeriesManagement codeunit for managing number series. The updated system introduces two distinct entities: This new structure brings a more organized and streamlined approach to number series management, enabling enhanced customization for different document types and processes. Refactoring Your Code With these updates, the NoSeriesManagement codeunit is now marked for deprecation. When you use it, you may encounter a warning like: “Codeunit ‘NoSeriesManagement’ is marked for removal. Reason: Please use the ‘No. Series’ and ‘No. Series – Batch’ codeunits instead. Tag: 24.0”. Here’s a step-by-step guide to refactoring your code for the new system: 1. Identify Usage First, locate all instances where the NoSeriesManagement codeunit is referenced in your codebase. This includes direct calls or any references to its functions. 2. Replace with New Codeunits Update these references to use the appropriate new codeunit: How to Implement the New Codeunits a. Using “No. Series” This codeunit is used for standard number series management tasks. Below is an example of how it works: var    NoSeries: Codeunit “No. Series”;begin    NoSeries.GetLastNoUsed();    NoSeries.GetNextNo();end; b. Using “No. Series – Batch” The “No. Series – Batch” codeunit is designed for efficient batch processing of multiple number series. Use its methods like PeekNextNo to retrieve the next number without modifying the series. var    NoSeriesBatch: Codeunit “No. Series – Batch”;begin    NoSeriesBatch.GetLastNoUsed();    NoSeriesBatch.PeekNextNo();end; Example: Before and After Refactoring Before Refactoring: After Refactoring: Suggesting No. Series Using Copilot in Business Central Business Central’s Copilot integration simplifies generating and managing No. Series for different modules. Follow this step-by-step guide to utilize this feature effectively: 2. Create a New Number Series 3. Generate Number Series for a Specific Module 4. Modify an Existing Number Series 5. Prepare Number Series for the Next Year This feature empowers users to efficiently manage No. Series with minimal manual effort, ensuring consistency and saving valuable time. Explore the Copilot suggestions to optimize your workflow in Business Central! To conclude, the advancements in Business Central’s Number Series management, with the introduction of the new architecture and Copilot integration, offer a significant leap in flexibility, efficiency, and user experience. The updated “No. Series” and “No. Series – Batch” codeunits streamline workflows, while Copilot simplifies the creation, modification, and futureproofing of number series with intelligent suggestions. By adopting these features, businesses can ensure consistency, reduce manual errors, and save valuable time, making their operations more streamlined and future ready. Explore these enhancements today to unlock the full potential of Business Central! We hope you found this blog useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfonts.com.

In our previous posts, we covered the key stages of production—planning, creating orders, managing materials, and reviewing the final product. Now, let’s focus on an important next step: quality control of Finished product. Quality control is not something we just do at the end of the process; it’s crucial to making sure our products meet the high standards our customers expect. In this post, we’ll explain the essential steps involved in quality control, from inspections to ensuring everything follows the right rules, all to make sure only the best products are delivered. Let’s dive into how we keep our products up to standard and protect the reputation of our brand! Released production order System will automatically create Inspection datasheet with all the item details and list of specification. Inspection Datasheet Inspection Receipt Posted inspection receipt To conclude, our comprehensive quality control, driven by inspection datasheets and receipts, delivers excellent products, traceable records, and customer confidence through verifiable results and Certificates of Analysis. I Hope you found this blog useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfonts.com.

Setting up a legal entity in Dynamics 365 Finance and Operations (D365 F&O) is a crucial step for organizations managing multiple business units, subsidiaries, or operations across different regions. A legal entity represents an organization that has a registered business name, legal obligations, and transactions within the system. This guide provides a step-by-step process to create a legal entity in D365 F&O, ensuring that your business is structured properly for financial reporting, transactions, and compliance. Steps to Create a Legal Entity 3. In the Navigation Pane, go to Modules > Organization administration > Organizations > Legal entities. 4. Click New to create a new legal entity. 5. Enter Basic Legal Entity Information 6. General Fast-tab 7.  Configure Address and Contact Details Under the Contact Information tab, click Add and enter: 9. In the Statutory Reporting section, enter the legal entity’s registration numbers required for compliance. 10. In the Registration Numbers section, fill in any necessary legal details based on the country’s requirements. 11. In the Bank Account Information section, add bank accounts and routing numbers. It’s best to manage these in the Cash and Bank Management module. 12. In the Foreign Trade and Logistics section, enter the shipping details for the company. 13. In the Number Sequences section, 14. In the Dashboard Image section, you can upload or change the company’s logo or dashboard image. 15. In the Tax Registration section, enter tax registration numbers required for reporting. 16. In the Tax 1099 section, enter 1099 details (only needed for US-based companies). 17. Finally, click Save to apply the changes. To conclude, creating a legal entity in Dynamics 365 Finance and Operations is a foundational step for ensuring seamless business operations, compliance, and financial tracking. By following these structured steps, businesses can effectively manage multiple legal entities within the system. If you’re new to D365 F&O or need to discuss business needs, you can reach out to us at transform@cloudfonts.com.