Microsoft Fabric Services for
Retail & Energy
Helping retail, convenience chains, and oil & gas enterprises unify data and accelerate AI readiness.
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Siloed fuel, merchandise, food service, car wash and loyalty data?
When every revenue stream operates on separate systems, conflicting reports and inconsistent decisions become inevitable. Microsoft Fabric’s unified Lakehouse on OneLake brings store, product, site, and customer data into one governed platform with a single source of truth.
Are slow BI refresh cycles forcing teams back to spreadsheets for daily decisions?
When fuel prices shift every few minutes and promotions change throughout the day, delayed reporting impacts speed and margin. Fabric’s real-time dashboards give pricing teams, store managers, and category leaders continuous access to live operational data.
Are your AI initiatives struggling because the data foundation is not enterprise ready?
From demand forecasting and loyalty personalization to refinery maintenance and fuel optimization, AI use cases depend on trusted data. Fabric’s Medallion Lakehouse provides the governed, scalable foundation needed to move AI initiatives into production faster.
Driving Intelligent Retail, Convenience Chains, and Energy Operations with Fabric
IDC's MarketScape for POS Software in Retail Fuel & Convenience study 2025 identifies declining loyalty and rising customer expectations as key drivers of next-generation data integration.
Across retail, convenience chains, and oil and gas, organizations contend with fragmented data across multi-site operations, revenue streams, pricing models, and supplier ecosystems, often siloed across ERP, POS, fuel management, and reporting systems. Without a unified platform, visibility and decision-making suffer.
As a Microsoft Fabric Featured Partner with deep expertise in retail and fuel practice experience, our implementations in this sector share methods, migration patterns, and AI use cases that make our expertise directly applicable.
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Our Key Microsoft Fabric Services
Power BI to Fabric Migration
The Challenge
Convenience chains, fuel, and energy retailers running PDI, Excentus, PriceAdvantage, ERP, POS, and loyalty systems face reporting inconsistencies, data contention, and governance gaps when Power BI connects directly to fragmented data sources.
Our Solution with Fabric
Our migration service moves enterprise data into a governed Medallion Lakehouse architecture, enabling near real-time reporting and reducing source-system load, Existing reports are repointed rather than rebuilt. The result is a unified foundation ready for AI and advanced analytics: operational reporting, fuel and merchandise forecasting, loyalty analytics, dynamic pricing, Copilot in Power BI, and predictive intelligence.
Azure Synapse to Fabric Migration
The Challenge
For petroleum operators and large retail chains with Synapse in place, data is centralized yet business units such as fuel supply, merchandising, and procurement still submit IT tickets for every dataset they need. Over time, teams build their own copies, creating conflicting versions of the same fuel margin or promotional figure. Governance breaks down, and trust in data evaporates.
Our Solution with Fabric
Our migration reframes the engagement around access, rather than storage. Fabric's zero-copy architecture lets business units reach enterprise data through governed shortcuts without duplicating it. Petroleum operators get separate domains for refining, light oils, lubes, and supply and trading. Convenience chains get domains for merchandising, fuel, car wash, HR, and finance, each with self-service within guardrails and ML experimentation natively connected to trusted enterprise data.
AI Agents and Copilots
The Challenge
For retail and petroleum operators, AI initiatives stall not from lack of ambition but lack of foundation. Models trained on duplicated, ungoverned data produce unreliable outputs. Copilot tools without a trusted data layer return answers that no one acts on. Without a unified, governed data platform, AI stays on the roadmap.
Our Solution with Fabric
A governed Fabric foundation makes production AI concrete. For convenience and fuel retailers, that means ML models for merchandise demand, fuel forecasting, promotional performance, and customer loyalty. For petroleum and energy operators, that means refinery demand forecasting, predictive maintenance, and supply and trading analytics. Across both, Copilot delivers insights and accepts queries in plain English, putting enterprise data within reach without SQL or IT involvement.
Talk to the experts who will actually build your data foundation
Building a Future-Ready Retail Data Foundation for SPINX
SPINX is a leading U.S. fuel and convenience chain where fragmented data and manual reporting were limiting visibility and slowing decisions. We modernized their analytics ecosystem across Azure Synapse, Power BI, and Microsoft Fabric, unifying data into a centralized, governed platform and laying the foundation for AI-driven transformation with AI Agents and Copilot.
Read the full story60% Faster Access to Insights
Teams can now analyze promotions and item performance in near real time, cutting the time from data to decision.
40% Reduction in Manual Effort
Consolidating multiple systems into a single platform eliminated silos and made data accessible without manual intervention.
30% Improvement in Data Reliability
A governed data foundation ensures accuracy and consistency across the business, with data now ready for AI and predictive use cases.
Explore Other Fabric Services We Offer
Fabric Landing Zone Implementation Services
D365 and Fabric Integration
Microsoft Purview Services
Real-Time Intelligence Services
Managed Services
Custom in a Day Workshops
Why LevelShift
- Microsoft Solution Partner and Fabric Featured Featured Partner
- Azure Specialized Partner for Data Analytics and Data Warehouse Migration
- Proven industry frameworks, migration accelerators, and Copilot agents built for retail, convenience chains, fuel, and energy operations
- Delivered enterprise-scale data modernization initiatives across retail, convenience chains, fuel retailers, and oil and gas organizations
FAQs
Yes. Fabric’s Dataflow Gen2 and Data Factory support API-based and file-based ingestion from operational platforms used across fuel retail and convenience chains, including PDI Enterprise and PDI FP, Excentus loyalty data, OPIS competitor pricing feeds, PriceAdvantage, and back-office systems like Fiserv, COMDATA, UKG, and ConnectWise.
As part of our LevelShift Microsoft Fabric services for retail, we build scalable data solutions that unify operational, loyalty, pricing, and financial data into a governed enterprise data foundation, with reusable integration patterns proven in production.
We have delivered AI Agents across both sectors.
For convenience and fuel retailers, common use cases include promotional performance analytics, merchandise demand forecasting, customer churn prediction, fuel demand forecasting with competitor pricing integration, and operational reporting automation.
For petroleum and energy operators, use cases include refinery modelling and planning, API quality prediction and blending, emissions monitoring and ESG reporting, and predictive asset management.