E-mail Notification based on priority Context: Shipping notifications often contain critical information requiring immediate attention, such as delays, urgent shipments, or priority packages. Automating email notifications based on priority ensures efficient communication and prevents missed updates. This solution is particularly valuable for logistics, e-commerce, and supply chain management teams handling high volumes of shipping data. Solution: Automated Trigger: Use Power Automate to monitor incoming emails for specific subjects or keywords related to shipping. Priority Categorization: Analyze the email content or headers to classify the priority (e.g., "High" for urgent deliveries, "Medium" for standard updates). Targeted Notifications: Send customized email notifications to relevant teams or individuals based on the identified priority. Logging and Tracking: Optionally, log the email details in a SharePoint list or database for tracking and reporting. Impact: Faster Response Times: Ensures high-priority shipments are addressed promptly, reducing delays. Improved Team Coordination: Sends notifications to the right people, minimizing miscommunication. Operational Efficiency: Automates manual processes, freeing up time for other tasks. Enhanced Customer Satisfaction: Increases the reliability of shipping updates, leading to better customer experiences. Previous Item Next Item

Digital‑Twin Lite: Intelligent Pipeline Optimization for Safer, Stable Gas Networks Context Pipeline operators manage thousands of kilometers of gas network assets where pressure, flow, and valve states change continuously throughout the day. Maintaining network stability requires real-time visibility into these dynamic conditions, along with the ability to simulate operational scenarios before issues escalate. A lightweight digital-twin layer helps operators understand how the network behaves, anticipate risks, and optimize performance without the complexity of full-scale simulation platforms. Challenges Conventional monitoring relies on SCADA views, manual checks, and operator judgement—making it difficult to detect subtle anomalies, assess interacting factors, or validate operational decisions. Supervisors lack a structured mechanism to review and approve recommendations, and insights often remain siloed across multiple reports. Without an integrated model of network segments, valves, and pressure readings, both operators and supervisors face delayed responses, inconsistent decisions, and limited ability to plan proactively. Solution Digital-Twin Lite for Pipeline Optimization uses Copilot-powered intelligence, Dataverse network models, and real-time dashboards to create a simplified but highly actionable digital representation of the gas network. Operators access AI-generated insights, scenario analysis, risk detection, and explainable recommendations through the Gas Network Copilot Advisor, while supervisors validate actions using a dedicated Copilot agent. Power BI reports visualize operations, and automated flows ensure approved recommendations are tracked end-to-end,enabling faster decisions, improved network stability, and more reliable pipeline performance. Previous Item Next Item

Automation for Sentiment Analysis on Tweets Context: Manually analysing the sentiment of tweets can be time-consuming, especially for businesses or individuals monitoring public perception or brand reputation in real-time. Solution: Automation for Sentiment Analysis on Tweets leverages tools like Power Automate or AI-driven algorithms to automatically analyse the sentiment of tweets. The system categorizes tweets as positive, negative, or neutral, providing immediate insights into public sentiment. Impact: Efficiency : Automates sentiment analysis, saving time and effort. Real-time Insights : Provides immediate feedback on public sentiment. Improved Decision-making : Helps businesses respond quickly to positive or negative feedback. Scalability : Easily handles large volumes of tweets for comprehensive analysis. Previous Item Next Item

SAF Carbon Intensity Advisor: AI‑Driven Carbon Scoring & Compliance Insight Context Sustainable Aviation Fuel producers must calculate carbon intensity (CI) accurately for every batch, using feedstock properties, process parameters, and energy values. The SAF Carbon Intensity Advisor applies an AI‑first design—built through Microsoft Planner Designer—to compute CI scores, flag risks, and centralize results for sustainability teams. Trend visuals help teams track performance across batches and maintain clarity over shifting compliance expectations. Challenges CI evaluation often involves manual data checks, multiple spreadsheets, and fragmented evidence sources. This makes it difficult to identify high‑risk batches, ensure complete data inputs, or maintain consistent regulatory readiness. Sustainability, procurement, operations, and compliance reviewers each work with partial information, slowing verification and increasing the chance of overlooked compliance issues. Solution The advisor standardizes CI assessment using a structured model of requirements, roles, and data tables generated by Planner Designer. Copilot analyzes batch inputs, computes CI scores, flags compliance risks, and explains top contributors. A set of apps,CI calculator, approval hub, dashboards, and a grounded CI Copilo,—supports data entry, review, approvals, and executive oversight. Real‑time summaries, evidence checks, and trend dashboards ensure every batch is evaluated consistently, enabling faster decisions and improved sustainability governance. Previous Item Next Item

Curtailment Recommendation Assistant: AI‑Driven Surplus Detection & Optimized Curtailment Planning Context Renewable generation often fluctuates faster than grid demand, creating surplus energy periods that must be managed carefully to maintain stability. The Curtailment Recommendation Assistant uses an AI‑first planning approach to help operators and planners visualize generation vs. load, detect surplus windows, and receive optimized curtailment recommendations. Built through Microsoft Planner Designer, it generates a structured blueprint,defining purpose, users, processes, and data models—to support transparent and predictable grid‑side decision‑making. Challenges Planners traditionally rely on manual inspection of generation curves and load profiles, making it hard to detect surplus periods quickly or understand the trade‑offs behind curtailment. Without a unified workflow, stakeholders struggle to review rationale, validate energy impact, or maintain transparency across decisions. Fragmented tables and unstructured data impede consistent surplus identification, curtailment estimation, and approval cycles. Solution The Curtailment Recommendation Assistant standardizes planning workflows and applies AI to evaluate renewable generation and load profiles, identify surplus windows, and propose optimized curtailment periods that minimize lost energy. A dedicated canvas app visualizes profiles, surplus slots, curtailment windows, and impact metrics, while an AI Copilot Advisor provides clear reasoning, trade‑offs, and data‑grounded recommendations. Approval workflows, dashboards, and structured data tables ensure planners and stakeholders share a common, transparent view of the curtailment plan and its expected outcomes. Previous Item Next Item

Dataverse virtual tables using the virtual connectors for seamless Power Apps Integrations Context: Integrating data from various sources can be challenging, especially when dealing with disparate systems. Traditional methods of data integration often require complex and time-consuming processes, especially when integrating Power Apps and Dataverse with MS SQL, SharePoint, Fabric, Salesforce, Oracle or even Snowflake. Solution: Creating virtual tables in Dataverse using the virtual connector provider, simplifies data integration by allowing users to connect and interact with external data sources seamlessly. Virtual tables enable integrating data from external data sources by seamlessly representing that data as tables in Microsoft Dataverse, without data replication. Solutions, apps, flows, and more can use virtual tables as if they were native Dataverse tables. Virtual tables allow for full create, read, update, and delete privileges unless the data source they're connecting to specifically forbids it. Impact: This solution enhances data accessibility and efficiency, enabling users to work with up-to-date information without the hassle of manual data integration. It improves decision-making, reduces operational complexity, and streamlines workflows, ultimately boosting productivity. This approach eliminates the need for data duplication and provides real-time access to external data. Previous Item Next Item

Hydrogen Hub Optimization & Allocation Copilot Context Hydrogen hubs must balance varying producer capacities with dynamic consumer demand, but manual allocation and simple internal models slow decisions and often lead to inefficiencies. As inputs change frequently and data remains scattered, maintaining a stable and transparent dispatch process becomes challenging. The Hydrogen Dispatch Balancer applies an AI‑first architecture built with Microsoft Planner Designer , converting planning requirements into structured processes and data models. Copilot evaluates capacity, demand, and scenarios to generate optimized, grounded dispatch recommendations. Challenges Hydrogen dispatching is hindered by inconsistent producer and consumer inputs, making allocation decisions unreliable. Manual calculations increase the risk of unmet demand, over‑allocation, or idle capacity. Teams lack clarity on why decisions are made, and early‑stage hubs relying on simplified logic face even greater inefficiencies. Maintaining traceability and audit‑ready reasoning across dispatch cycles is also difficult. Solution Microsoft Planner Designer defines hub roles, workflows, and data structures, creating a strong foundation for AI‑driven optimization . Copilot analyzes all capacity and demand inputs, compares scenarios, and produces clear, explainable dispatch plans. The Dispatch Planner Copilot supports plan creation and decision explanation, while the Dispatch Task Manager enables review, approval, and execution with integrated BI views, exports, and alerts. Automated workflows ensure continuous monitoring and improvement,resulting in faster, more transparent, and highly efficient hydrogen dispatch. Previous Item Next Item

Reinventing Utility Billing with a Clean‑Core, Sidecar Architecture Context A major phase of modernization involves transitioning from SAP IS‑U to a more flexible, modern utility billing platform. Field operations have already been modernized using a clean‑core, sidecar strategy, and the same approach is now being applied to utility billing. The objective is to upgrade billing capabilities without modifying or disrupting the SAP ECC finance module. Challenges SAP IS‑U is powerful but tightly coupled to the core ERP, making enhancements costly and risky. Modern billing needs,such as flexible tariffs, new rate structures, customer self-service, and faster billing cycles are difficult to achieve inside the legacy system. Field technicians also require a simple way to capture meter readings and outage events that directly influence billing. Migrating customer contracts, tariffs, and meter data must be done carefully, with parallel validation to avoid billing discrepancies. At the same time, end users expect a modern digital experience for viewing bills, raising queries, and managing preferences. Solution The Utility Billing Hub is implemented on Microsoft Dynamics 365 as a clean‑core, sidecar billing platform. Lightweight field apps allow technicians to record meter readings, log outages, and capture service details, all of which feed the billing engine. AI‑assisted calculations handle billing based on updated readings and rate structures. Utility account management, tariff configurations, billing runs, and customer queries are managed through Dataverse-backed applications. A customer-facing web page enables bill viewing, profile management, payment preferences, and service queries. To ensure safe transition, SAP IS‑U and the new billing system run in parallel , comparing billing cycles until complete validation is achieved. Once aligned, the legacy billing module can be decommissioned, reducing operational cost, infrastructure load, and overall complexity while enabling faster, more agile billing Previous Item Next Item

AI-First Solutions for Accelerating Productivity delivered by Remote-First Talent In 2024, McKinsey & Company came out with an insightful report on the three-sided Productivity Opportunity. They are 1. Operate with Excellence 2. Optimize Capital Leverage 3. Accelerate Growth At Acclero Technologies, we help our Customers make most of Productivity Opportunity across all three dimensions. Here is how... 1. Microsoft Power Platform: We help our Customers "Operate with Excellence" by upskilling the talent of Citizen Developers within their Business Divisions, with the help of our Code-First Power Platform Engineers and Power Platform COE Service. And, to make matters easier - this technology is already embedded and available to every organization that uses Microsoft Teams, Outlook and Office 365 Suite! 2. Remote-First Engineers: Our 'Work from Anywhere' policy not only helps balance the costs of talent but also make most of the available Microsoft 365 licenses, thus saving on software and infrastructure cost. Our economical offerings help our Customers to "Optimize Capital Leverage". 3. AI-First Solutions: 65%+ of Companies that invested in AI last year are reporting significant Revenue growth due to the innovative solutions. All our solutions are designed AI-First, which means we consult our Customers on the use of AI Builder, Copilot Studio for Conversational AI and Power Automate for Automations with 1000+ built-in Connectors. Our Customers "Accelerate Growth" with innovative offerings that streamline operations and provide enhanced end user experience! If you wish to join us please send your resume at careers@acclerotech.com About Us Acclerating Productivity Frequently asked questions General Setting up FAQs What is an FAQ section? An FAQ section can be used to quickly answer common questions about your business like "Where do you ship to?", "What are your opening hours?", or "How can I book a service?". Why do FAQs matter? FAQs are a great way to help site visitors find quick answers to common questions about your business and create a better navigation experience. Where can I add my FAQs? FAQs can be added to any page on your site or to your Wix mobile app, giving access to members on the go.

Automated SharePoint Library Management and Workflow Integration Context : This Power Automate flow is designed to automate the management of SharePoint lists and libraries, integrating various tasks into a cohesive, streamlined process. It triggers upon receiving an HTTP request and processes data from SharePoint to automate workflows. Solutions : Data Retrieval: Automates the extraction of lists and libraries from SharePoint. Data Filtering: Refines the data based on specific conditions for further use. Modular Workflow: Chained flows allow for reusability and efficient handling of tasks. Dynamic URL and GUID Manipulation: Customizes URLs and library identifiers to fit specific needs. Impact : Increased Efficiency: Reduces manual intervention by automating complex processes. Improved Workflow Management: Ensures consistent execution of tasks across multiple libraries. Scalability: The use of nested flows allows for easy scaling as additional libraries or steps are added. Previous Item Next Item

AI‑Driven Renewable Work Priority Evaluator Context Renewable energy sites never run out of maintenance work only time, access, and resources. Supervisors must decide daily which jobs protect uptime and production. The Renewable Work Priority Evaluator brings structure by assessing tasks using a small set of high‑impact parameters and uses Copilot to rank the day’s work with clear, plain‑language reasoning. Challenges Without a transparent, data‑driven approach, high‑value tasks get delayed while low‑impact tasks consume attention. Site supervisors and operations coordinators struggle to balance safety, urgency, and production impact. Manual prioritization is slow, subjective, and inconsistent, especially when multiple sites, assets, and maintenance lists grow daily. Solution Using Planner and AI‑First design, the system auto‑generates user requirements, processes, scoring logic, and data tables. It evaluates worklists, applies priority scoring, ranks tasks, and explains why certain jobs matter more right now. Canvas apps, automation flows, and a Priority Reasoning Assistant support supervisors with instant rankings, transparent logic, and insight boards to track completion and performance. Previous Item Next Item

SharePoint Search Genie – Smart Document & Record Search with Microsoft Copilot Studio Context In many organizations, searching for files or list items means hunting through folders, remembering file names, or emailing colleagues for links. This wastes valuable time and breaks focus. Traditional search often feels slow and disconnected. Solution SharePoint Search Genie is a conversational agent built using Microsoft Copilot Studio and Power Automate , designed to make document and record searches effortless. Employees can simply type what they need—like a file name or keyword—and get instant results inside a chat interface. Core Features: Search documents in SharePoint libraries by keyword. Search records or list items (tasks, issues, assets) instantly. Conversational experience with clear prompts and quick actions. Smart fallback : If no results are found, the agent guides users to retry or exit gracefully Impact SharePoint Search Genie saves time, removes the hunt for files and records, and makes work smoother. Employees find what they need in seconds—without leaving the chat or sending multiple emails. Built on Microsoft’s secure, low-code tools, it’s easy to deploy, scale, and manage. Previous Item Next Item