Customer Success Stories

Company Overview A well-loved Indian FMCG brand with a pan-India footprint and a strong presence in both retail and institutional markets. Known for its wide product range and commitment to quality, the company had ambitions far beyond tradition—scaling operations 10x and building an intelligent, data-first organization. With a network of over 1,000 distributors, 120+ sales representatives, and thousands of cold storage units deployed across the country, the challenge wasn’t just volume—it was visibility. Despite its reach and popularity, the organization was operating in silos—data silos. And scaling with guesswork was no longer sustainable. The Meltdown Before the Makeover: Business Challenges Despite its impressive product and market presence, the company was facing growing pains that technology could no longer ignore. Key Operational Challenges: Disparate Data Sources: Business-critical data was scattered across Infionix ERP, Ivy CRM, freezer monitoring tools, and multiple Excel sheets, causing fragmentation. Delayed Reporting: Insights were delayed by hours or days due to manual collation and processing, leading to reactive rather than proactive decision-making. Freezer Tracking Chaos: Over 2,000 freezer units deployed in the field couldn’t be monitored effectively. Usage, power status, and maintenance status were often unknown or inaccurate. KPI Inconsistencies: Without a master data governance framework, key metrics differed by region or team, creating misalignment and confusion. Scalability Concerns: With aggressive growth targets, their legacy systems couldn’t support modern analytics needs or real-time collaboration. The Recipe for Transformation: Business Objectives The leadership team outlined a forward-looking data vision centered on agility, automation, and actionability. Strategic Goals: Centralize and unify all business-critical data into one trusted source Automate daily reporting and enable real-time operational intelligence Equip field teams with mobile dashboards for on-the-go decision-making Ensure secure, role-based access for distributors and sales heads Eliminate human dependencies in reporting workflows Build a future-proof data foundation aligned with Microsoft Fabric The goal wasn’t just visibility—it was data confidence at every level of the organization. Why They Chose atQor   What set atQor apart was its ability to translate business complexity into scalable architecture—with empathy and speed. Key Differentiators: Deep domain knowledge in retail and FMCG analytics Proven success in Azure-powered data platforms Security-first architecture with user-level access control Simplicity in execution, even with complex ecosystems Forward-thinking design, pre-aligned to Microsoft Fabric and AI services atQor didn’t just build reports—we built a launchpad for the brand’s next decade of growth. The Scoop on the Solution: Solutions Provided We delivered a full-stack, scalable, and secure analytics platform using Microsoft Azure. This wasn’t just about technology—it was about building a data-first mindset. Core Components: Azure Data Lake Gen2: Unified all operational and transactional data into a single, centralized lake Azure Data Factory: Enabled incremental daily loads with robust data pipelines Azure SQL Database: Optimized for high-performance querying and dashboard rendering Power BI Dashboards: Custom dashboards for sales, marketing, operations, and freezer management—mobile-ready Role-Based Access Control: Custom access levels for 1,000+ distributors and internal teams Fabric-Aligned Architecture: Built to scale toward AI, machine learning, and predictive forecasting This was not just an analytics project—it was a business nervous system reboot. Impact Served Cold and Fast Quantifiable Wins: 85% reduction in reporting timelines, with insights available before daily huddles 2,000+ freezers monitored in real-time, improving ROI and maintenance efficiency Sales, marketing, and operations decisions now data-driven across all regions Mobile dashboards enabled 120+ field reps to take quick action on the go End-to-end reporting automation, reducing human dependencies and errors Strategic and Human Impact: Sales reps strategize better with real-time sales trends and product performance data Leadership identifies top-performing regions, distributors, and SKUs instantly Freezer placement optimized using actual usage heatmaps—cutting energy and operational costs Teams now focus on improvement, not just information gathering In Their Words “Our biggest win was speed and clarity. We moved from weekly Excel reports to live dashboards across sales, operations, and freezer tracking. With real-time visibility, our teams now make faster, smarter decisions. atQor’s solution didn’t just modernize our reporting, it transformed our agility as a business.” — CTO, Leading Ice Cream Brand

Company Overview A leading global pharmaceutical company with a presence in over 85 countries and a workforce exceeding 18,000, this organization is among India’s top 10 pharmaceutical brands. With a deep footprint in generics, biosimilars, and formulations, the company’s operations rely heavily on supplier, distributor, and in-licensing agreements—over 4,500 of them. Managing these high-stakes contracts efficiently was not just a priority, it was a strategic imperative. The Hidden Cost of Contract Chaos: Business Challenges The legacy approach to contract lifecycle management was fragmented and inefficient. Key challenges included: Contracts scattered across emails, drives, and SharePoint Delays of 15–20 business days in approvals Over 400 hours/month spent on manual clause validation Zero visibility into approval stages or expiry triggers High legal analyst dependency for clause compliance Absence of a searchable, structured clause library These inefficiencies impacted compliance, operational agility, and audit readiness—especially in a highly regulated pharmaceutical environment. Strategic Objectives: Speed, Compliance, and Control Business Objectives Cut contract turnaround time by 50% Minimize legal dependency via AI clause recognition Introduce visibility across departments for every contract stage Ensure audit-readiness and data-driven compliance Proactively track expiries, renewals, and obligations Build a scalable, intelligent CLM platform aligned with future growth Why atQor: Trusted Partner in Intelligent Transformation The client partnered with atQor, a Microsoft Solutions Partner with deep expertise in AI, automation, and Microsoft 365 solutions. atQor’s proven track record in digital legal transformation and their ability to deliver scalable, compliance-focused solutions made them the ideal choice. With a focus on automation, AI-driven clause recognition, and seamless Microsoft ecosystem integration, atQor was chosen to turn static documents into dynamic, trackable business assets. Smarter Contracts with AI and Microsoft 365: Solutions A robust Contract Lifecycle Management (CLM) system was implemented using: Azure AI Language Services for clause extraction and tagging Power Automate for end-to-end, rule-based workflows SharePoint Online & OneDrive for secure, version-controlled storage Outlook integration for task triggers and notifications RBAC architecture for role-based access and audit logs This intelligent CLM system covered: Contract drafting with pre-approved templates AI-based clause matching and risk identification Multi-stage workflow approvals with escalation triggers Post-signature clause tracking and expiry notifications Real Impact: From Manual Grind to Measurable Gains – Business Benefits 50% faster contract turnaround 180+ legal hours saved monthly 70% drop in missed renewals Instant access to clauses using a searchable library Audit-readiness and compliance improved significantly Legal shifted focus from manual reviews to strategic advisories The system empowered over 75 professionals across legal, procurement, and compliance functions to collaborate smarter and move faster. Reflections from the Customer “What used to take weeks now takes days and what took hours, now takes minutes. The AI-powered CLM solution delivered by atQor has streamlined our contract lifecycle, reduced manual workload, and significantly improved compliance. Our legal and procurement teams now spend less time chasing approvals and more time adding value to the business. It’s a true digital transformation that’s aligned with our scale and regulatory demands.” — Head of Legal & Compliance, Leading Global Pharmaceutical Company

Company Overview One of India’s largest vertically integrated textile conglomerates, this industry leader is globally known for pioneering sustainable denim and high-quality cotton-based innovation. With deep agrarian roots and a manufacturing backbone, the company delivers premium cotton to top global fashion brands, bridging tradition and technology. The Missing Threads in Cotton Procurement: Business Challenges Cotton procurement processes were manual and disconnected, relying heavily on paper-based tracking. Field officers and farmers recorded bail quality data manually, causing frequent data inconsistencies. Lack of digital traceability made it difficult to monitor cotton bails across the supply chain. Quality validation checkpoints were weak, leading to lapses in cotton standards. The company faced challenges in ensuring premium quality delivery to top-tier clients due to data gaps and process opacity. Building a Digital Backbone for Cotton Integrity: Business Objectives Create a fully digital platform for cotton procurement, tracking, and quality control Enable real-time bail-level traceability from farm to warehouse Empower farmers with simple mobile-first tools Establish transparent, scalable, and auditable sourcing practices Where Innovation Meets Ground Reality: Why atQor Blended technology with empathy, designing solutions that resonated with both farmers and field officers. Brought deep expertise in Microsoft Power Platform to create a scalable, low-code digital solution. Focused on real-world usability, ensuring the app worked seamlessly in rural environments. Delivered a solution that was simple, intuitive, and mobile-first, even for non-tech-savvy users. Enabled real-time insights and data traceability, enhancing decision-making from farm to factory. Acted as a true transformation partner, not just a tech vendor, building trust at every level of the supply chain. A Smart Procurement Fabric with Microsoft Power Platform: Solutions Developed a custom cotton procurement mobile app on Power Apps Embedded QR code generation for each cotton bail for real-time scanning Enabled quality checkpoints and metadata capture across sourcing lifecycle Deployed Power Automate workflows for alerts, validation, and escalation Centralized data within Microsoft Dataverse for secure, role-based access Rolled out mobile devices to over 100 farmers and procurement officers Created intuitive dashboards for decision-makers and auditors Digitizing Every Thread of Trust: Business Benefits Reduced quality deviation by 45%+ through digital checkpoints Enabled end-to-end traceability from farm to final delivery Empowered over 100+ rural farmers with mobile-first digital tools Improved batch-level accountability and vendor performance Delivered a transparent, client-trust-building audit trail Enhanced cotton quality assurance, ensuring every bail meets premium standards Customer Testimonial “This initiative brought visibility, accountability, and quality into a process that was once opaque and manual. With real-time tracking and digital quality validation, we've significantly reduced quality issues and empowered our farming partners. It's not just process improvement, it's a step-change in how we source cotton.” - Head of Procurement, Leading Textile Manufacturer

Company Overview A global leader in wellness and personal care, this 90-year-old Ayurvedic enterprise operates across 100+ countries, employing over 5,000 professionals. With a diverse portfolio spanning pharmaceuticals, nutraceuticals, baby care, and personal wellness, their FY24 revenue crossed INR 3,000 crores (~$360 million). Yet, rapid growth brought rising complexity, especially in managing their expanding workforce and global HR operations. The HR Puzzle: When Data Becomes a Barrier The organization’s HR data was scattered across multiple systems—SAP, SuccessFactors, Excel—making it hard to derive meaningful, timely insights. Challenges included: No unified view for HR KPIs and workforce reports Inability to analyze critical metrics like attrition, replacement cost, or hiring timelines in real time Over 200+ hours/month spent on repetitive manual reporting Inconsistent data across departments, delaying decisions Lack of alignment with Annual Operating Plan (AOP) targets These inefficiencies created a reactive HR environment, with strategy suffering from limited foresight and fragmented information. A Clear Vision for Smarter People Decisions: Business Objectives To overcome the challenges, the company aimed to: Consolidate all HR data sources into a single governed platform Enable real-time access to workforce insights Reduce manual reporting hours by 80% Improve decision velocity for leadership Empower HR teams with tools to drive performance, planning, and retention The Right Fit for the Right Fabric: Why atQor The company chose atQor for its proven track record in delivering Azure-native data solutions and domain expertise in HR analytics. atQor’s strength lay in: Deep technical expertise in Microsoft Fabric Ability to bridge enterprise needs with agile delivery Focus on governance, scalability, and secure access Empathy-driven design to ensure high user adoption across HR roles Stitching the Fabric of Intelligence: Solutions atQor architected a Microsoft Fabric-powered HR analytics ecosystem that transformed scattered data into business-ready insights: Deployed Medallion Architecture with Silver and Gold Layers Integrated 12+ sources including SAP HR, SuccessFactors, Excel, SharePoint, ETHOS Created a OneLake Data Warehouse as the centralized truth layer Designed dynamic Power BI dashboards for CXO-ready insights Embedded RBAC and sensitivity labeling for data security Enabled trigger-based refresh cycles aligned with HR cadence Impact That Goes Beyond the Numbers Business Benefits This transformation reshaped the way HR worked: Unified data unlocked a 360° view of workforce metrics 200+ hours/month of manual work eliminated Decision-making cycle reduced by 70% Drill-down analytics allowed BU-level insights into attrition, hiring velocity, and training ROI Executive-level dashboards saw 80% adoption within weeks Business Outcomes 200+ hours/month saved in reporting Decision velocity improved by 70% 100% data consistency across HR in just 4 weeks 80% dashboard adoption among business heads Cost-per-hire insights now available in seconds Voice of Change – Customer Speak “We’ve seen a tangible shift in our HR function’s effectiveness post-implementation. What used to take days, like reconciling cost-per-hire or tracking attrition, now happens in seconds. Most importantly, leadership decisions are now backed by real-time data, not approximations. atQor didn’t just give us dashboards, they delivered business clarity.” — Head of HR, Leading Healthcare & Pharma Company

Company Overview A global pharmaceutical powerhouse with more than 11,000 employees and operations in 75+ countries has spent more than a century perfecting drug discovery and manufacturing. Behind the scenes, however, its HR, Procurement, and Finance teams juggled SAP Rise, SuccessFactors, MES, LIMS, and countless spreadsheets, producing oceans of data but only puddles of actionable insight. Leadership knew the next era of growth would hinge on turning that data into real‑time intelligence. Departmental Challenges Human Resource Disjointed systems and manual reconciliation across 5+ data sources Limited real-time visibility on attrition and hiring trends Leadership lacked strategic self-service analytics No predictive tools for workforce planning Procurement Inconsistent data across POs, inventory, and supplier performance Sourcing decisions delayed due to reactive, siloed reporting Spend classification lacked a unified approach SAP SAC limitations in agility and rising costs Finance Time-consuming reconciliation and KPI reporting Manual AOP alignment efforts SAC constraints blocking scalable analytics Goals Behind the Journey: Business Objectives The transformation wasn't just about replacing tools; it was about building a modern decision-making ecosystem. The organization aligned with atQor on the following key objectives: Modernize analytics to support real-time, insight-driven decisions across HR and Procurement functions Eliminate dependence on rigid BI tools by adopting a flexible, Copilot-ready architecture Democratize access to insights for over 500 business users, reducing reliance on central teams Reignite Microsoft engagement through impactful use cases and meaningful outcomes Cut down reporting costs while laying the foundation for a unified and scalable data platform that grows with the business From Vendor to Vision Partner: Why atQor atQor approached the engagement as a business transformation, not a tool swap. By combining deep domain knowledge with Microsoft Fabric expertise, the team promised three outcomes: Speed to Insight: Real‑time analytics accessible to any manager Future‑Proof Architecture: Copilot‑ready, AI‑friendly, cloud‑native Cost Rationalization: Replace bloated BI licensing with an elastic, pay‑as‑you‑grow model The pharma company saw atQor not only as an implementation partner but as a catalyst to reignite its dormant Microsoft relationship. The Blueprint Behind the Breakthrough: Solutions Fabric Innovation Workshop: This two-day sprint identified key pain points and aligned them with Fabric’s capabilities, successfully transforming initial scepticism into strong support Unified Data Foundation: Azure Data Factory pipelines streamed data from SAP Rise, SuccessFactors, legacy HRMS, and flat files into One Lake’s Silver-Gold zones, preserving lineage while enabling agile modelling Copilot-Ready Semantic Models: Domain-specific Lakehouses exposed HR, Procurement, and Finance measures in natural language; managers could ask, “Show attrition hot spots for Q3” and get answers in seconds Governance & Security: Azure Purview catalogued assets, and role-based policies from Azure AD ensured GDPR-grade compliance Adoption & Change Management: Hands-on labs, “analytics office hours,” and gamified adoption challenges drove 98% user uptake within two months Smarter Decisions. Stronger Outcomes: Business Benefits 1. HR Transformation: From Reactive to Proactive Unified over 5+ disparate HR systems into a single, analytics-ready model Enabled real-time visibility into attrition, headcount, and AOP alignment Empowered HR leaders with Copilot-ready dashboards, no dependency on IT Achieved 98% adoption within 60 days, accelerating workforce planning decisions 2. Procurement Optimization: From Gut Feel to Data-Driven Automated vendor classification, PO tracking, and contract compliance metrics Improved sourcing agility with predictive alerts for supplier delays and risks Reduced manual reconciliation efforts by 60% Identified savings opportunities 38% faster using dynamic dashboards 3. Finance Agility: Continuous Performance at Scale Slashed manual effort across KPI tracking, AOP alignment, and forecasting Enabled self-service analytics for finance teams previously tied to SAC constraints Delivered 85% reduction in time spent preparing reports Laid the groundwork for real-time financial storytelling and strategic decisions 4. Enterprise Impact: A Foundation for the Future Deployed Microsoft Fabric in under 4 months across HR, Procurement, and Finance Generated $1.1M+ in estimated annual business efficiencies Enabled a shift from legacy BI tools to a unified, modern data platform Sparked new enterprise-wide AI conversations—Copilot, AOAI, and ESG analytics in motion Reflections from the Head of IT “This was more than a tech upgrade, it was a cultural shift. Our teams now have the insights they need, when they need them. Thanks to this transformation, data has become a strategic asset. The collaboration with atQor has turned information into a strategic asset.” — Head of IT, Leading Global Pharma Company

Company Overview With a portfolio of 27+ globally renowned fashion brands and a retail footprint spread across 1,300+ stores in 180 cities, this enterprise stands as a titan in the Indian retail landscape. Their product catalogue boasts over 200,000 SKUs, cutting across categories from casualwear to luxury apparel. The operational scale was immense with dynamic pricing, inventory planning, marketing campaigns, and merchandising decisions occurring daily across hundreds of zones. To remain competitive in a volatile retail market, they needed a modern data foundation that could deliver speed, consistency, and clarity across the board. The Fractured Foundation: Challenges The company’s earlier data setup was based on Google BigQuery, with Python-based cloud functions handling extraction from Oracle, Snowflake, and other systems. However, it suffered from multiple critical challenges: Stale insights: Reporting delays of 24–72 hours were common, impacting responsiveness. Data silos: Sales, merchandising, warehouse, and marketing teams relied on disconnected systems and reports. Scalability issues: The data pipelines could not handle frequent product refreshes or real-time updates during high-velocity campaigns. Manual overload: Business users spent 15–20 hours/week validating numbers and reconciling inconsistencies between reports. The real issue wasn't just about tools; it was about trust. Functional teams lacked confidence in their data, resulting in slow decisions, missed opportunities, and duplicated efforts. Goals Behind the Journey: Business Objectives Modernize Analytics: Migrate from fragmented legacy systems to a unified, scalable data platform Enable Real-Time Decisions: Provide instant access to insights for faster, data-driven actions Empower Business Users: Promote self-service analytics for 200+ stakeholders across departments Optimize Inventory & Margins: Improve inventory turns and margin visibility with timely insights Eliminate Manual Effort: Automate reporting and reduce reconciliation time Scale with Confidence: Build a future-ready architecture aligned with Microsoft Fabric strategy Why They Chose atQor The company selected atQor based on three strategic differentiators: Expertise in Microsoft Fabric & Azure ecosystematQor’s proven delivery frameworks for modern data platforms, coupled with co-sell alignment with Microsoft, made them an ideal transformation partner. Retail industry familiarityWith experience across fashion and FMCG use cases, atQor understood the nuances of sell-through, markdowns, and stock rotation challenges. Accelerated go-live commitmentatQor’s pre-built accelerators and agile methodology enabled a 90-day full rollout across brands and departments. The goal wasn’t just to fix the plumbing; it was to reimagine how business users engage with data. Stitching a Smart Data Fabric: Solutions The solution was built on Microsoft Fabric, leveraging a medallion architecture to separate raw, refined, and curated data. Key solution components included: OneLake-based Data Lakehouse: Bronze-Silver-Gold layers ensured clean, governed data at every stage Real-time ingestion pipelines: Integrated data from Oracle, Snowflake, and FTP feeds using Data Pipelines and Dataflow Gen2 Power BI Embedded dashboards: Delivered tailored insights to category managers, inventory teams, and executives Secure collaboration with Azure AD B2B + RBAC: Ensured the right users had access to the right data, internally and externally Automated workflows: Logic Apps and Azure Monitor powered automated data refreshes, notifications, and SLA monitoring The entire architecture was built to support modular scale, enabling future growth, brand expansion, and analytics maturity. Impact Beyond the Dashboard: Business Benefits Within just 12 weeks, the transformation was live and driving measurable change. Business benefits included: 90% reduction in report latency – from 2–3 days to near real-time $450,000+ in annual savings from reduced manual processing 18% improvement in inventory turns, reducing overstock and missed sales 220+ business users onboarded to self-service analytics 9 departments and 4 key brands transformed in under 90 days Human Impact: Category managers can now view sales, returns, and product velocity instantly, optimizing stock during peak campaigns and flash sales Finance teams now track product margins with confidence, using curated dashboards without data wrangling Analysts reduced time spent on manual reports by 75%, enabling them to focus on strategy, simulations, and forecasting This was not just IT optimization — this was business empowerment through data trust and transparency. Quote from the Frontlines “This transformation unlocked more than just real-time reporting, it changed how our business operates. Teams across merchandising, finance, and planning are now empowered with insights at their fingertips. We’ve eliminated manual effort, accelerated decisions, and created a single version of truth. It’s no longer about chasing reports, it’s about driving results.” — Head of IT, Leading Multi-brand Fashion Retailer