OUR EXPERIENCE IN HoReCa

In the restaurant industry, we deliver services to multiple clients from over:

restaurants

located accross countries

continents

BRANDS

We often create solutions for large, recognizable restaurant chains such as:

OUR SERVICES

Cloud Infrastructure Implementation

Comprehensive deployment of cloud solutions focused on data governance, information security, compliance with standards, scalability, and cost-effectiveness.

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Benefits for our Customers

  • Cost Efficiency: No need for upfront investments in physical hardware (switch from Capital Investments to OpEx). Clients pay for what they use, optimizing and better controlling costs.
  • Scalability: Clients can easily scale resources up or down based on demand without worrying about infrastructure limits or paying for oversized infrastructure.
  • Improved Performance and Availability: Cloud providers offer global reach with high availability, ensuring the Client’s services are accessible and responsive.
  • Enhanced Security: Cloud solutions offer advanced security protocols such as encryption, identity management, and compliance with regulations (e.g., GDPR).
  • Focus on Core Business: By outsourcing infrastructure to the cloud, clients can focus on their core business operations without managing hardware.

Implementation details

  • Scalable and cost efficient cloud infrastructure for restaurant industry
  • Cost efficient solutions for smaller restaurant chains (small data warehouse with several dedicated core business reports/dashboards)

Use cases

  • Cloud Infra for the Restaurant Industry (with a focus on data governance)
  • Auditing Azure Infra

Data Warehouse Implementation

Consolidation of data from multiple sources into a unified warehouse, ensuring data quality, enrichment, and transformation for effective reporting and analytics.

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Benefits for our Customers

  • Centralized Data Storage: A data warehouse stores data from multiple sources in one place, making it easier for clients to access, manage, and analyze.
  • Historical Data Analysis: Clients can analyze historical data to identify trends, patterns, and insights that inform better decision-making.
  • Improved Performance: Optimized queries and structured data improve the speed of reporting and analytics.
  • Scalability: Data warehouses are designed to handle large amounts of data, allowing clients to grow their data footprint without performance issues.
  • Data Governance: Implementing a data warehouse improves data quality, consistency, and compliance with regulations.
  • Access Management and Security: A data warehouse allows for better control over who can access different types of data, ensuring that sensitive information is available only to authorized users, improving security and compliance.

Implementation details

  • Data warehouse integrating data from various sources
  • Data governance best practices
  • Ensuring high data privacy and security standards

Use cases

  • Data warehouse implementation – sample integrations

Data Integration

Seamless data extraction from diverse sources using APIs, export mechanisms, and other integration methods to centralize and streamline data flow.

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Benefits for our Customers

  • Unified Data View: Integration enables the client to have a single, consistent view of their data from multiple systems (ERP, operating systems, CRM etc.), improving decision-making.
  • Better management of Master Data: Avoiding multiple sources of truth (i.e. customer data differs between source system limiting ability to merge/analyse the data properly).
  • Efficiency and Automation: Automating the flow of data between systems reduces manual data entry and errors, leading to faster and more efficient processes.
  • Reduced Manual Work and Errors: Greater automation in data integration minimizes the need for manual processes, significantly reducing the risk of human errors and freeing up resources for higher-value tasks.
  • Enhanced & Cross-domain Reporting: Better integration allows for accurate, comprehensive and cross-domain reporting by pulling data from multiple systems in real-time.
  • Improved Customer Experience: When systems like CRM and ERP are well-integrated, clients can offer more personalized and seamless customer experiences.

Implementation details

  • POS systems (Oracle Simphony, Lightspeed, GoPOS, Gastronovi, BitSoft, Breeze etc.)
  • Inventory management systems (i.e. Foodnotify, Oracle)
  • Labor scheduling and time management systems (i.e. Nesto)
  • Payment platforms (i.e. Adyen)
  • Customer review management platforms (i.e. Yext, re:spondelligent)
  • Qualiy reviews and audit solutions (i.e. Fresenius, QMSpot)
  • ERP systems (MS Dynamics 365 BC, Datev)
  • Restaurant data/reporting platforms (i.e. Tenzo, Sell & Pick)
  • Customer engagement & loyalty solutions (i.e. Como)
  • Mobile ordering platforms (wi-Q)
  • Kiosk orders solutions (M4B)
  • Electronic Journal solutions

Use cases

  • Data warehouse implementation – sample integrations

Power BI Reporting

End-to-end reporting solutions in Power BI, guiding clients in data visualization and dashboard creation, with added features like comment and approval mechanisms.

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Benefits for our Customers

  • Actionable Insights: Power BI provides clients with visually rich dashboards and reports, making it easier to interpret data and derive insights.
  • Self-Service Reporting: Clients can create and customize their own reports without relying on IT, improving flexibility and decision-making speed.
  • Real-Time Data: Integrating with live data sources allows clients to make decisions based on the most current information available.
  • Collaboration: Power BI allows sharing of reports and dashboards across the organization, improving collaboration and transparency.
  • Cost-Effective: Power BI offers a powerful reporting platform at a relatively low cost compared to traditional BI tools.
  • Less manual work: Instead of working with manual data/reports preparation, Clients can focus on value-adding activities and analysis of information coming from data.

Implementation details

  • Store P&L reporting (including comparison to forecasts/annual plan / transaction drill down)
  • Executive level P&L reporting
  • Cash flow reporting
  • Sales reporting (including reporting by sales channel, revenue centre etc.)
  • Benchmarking / pacesetter reporting
  • Sales mix reporting
  • Sales anomalies reporting
  • Cost of sales reporting (including actual and theoretical sales)
  • Cost of labour reporting
  • Fixed assets reporting (incl. Restaurant CAPEX)
  • Aggregators commisions reporting
  • Franchise / royalty fee reporting (incl. fees recalculations)
  • Operational reporting (customer & sales, people, product, facility etc.)
  • Speed of service reporting

Use cases

  • BI reporting platform for HoReCa

Custom Web Application Development

Tailored applications (.NET, Angular) designed to enhance business processes, including solutions for compliance, contract management, and operational performance.

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Benefits for our Customers

  • Tailored Solutions: Custom web applications are built to meet the specific needs and workflows of the client, improving efficiency and user satisfaction.
  • Scalability: Custom apps are designed with the client’s growth in mind, ensuring they can scale as the business expands.
  • Integration with Existing Systems: Custom applications can be built to integrate seamlessly with the client’s existing systems, ensuring a smooth flow of data across platforms.
  • Improved User Experience: Modern frameworks like .NET and Angular offer responsive, high-performance applications that provide excellent user experience across devices.
  • Long-Term Flexibility: Custom applications provide the flexibility to evolve as business needs change. Clients can add new features or adjust functionality as their operations grow or shift.
  • Enhanced Security: Using best practices for secure development, custom web apps ensure that sensitive business data is well-protected against vulnerabilities.

Implementation details

  • Store Reporting App for reporting and monitoring of monthly results / forecasts / priorities
  • Restaurant Master Data Management App
  • Rental Agreements Management App
  • Asset Management App

Use cases

  • RMS
  • MDM App
  • Rental agreements

Advanced Analytics with AI/ML

Advanced machine learning and AI-driven analytics for predictive insights, process automation, and optimization of pricing and marketing strategies.

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Benefits for our Customers

  • Predictive Insights: AI and machine learning models can analyze historical data to predict future trends, allowing clients to make proactive decisions.
  • Automation of Complex Processes: AI-driven solutions automate tasks like anomaly detection, customer segmentation, or demand forecasting, reducing the need for manual analysis.
  • Personalization: Advanced analytics enables the creation of more personalized customer experiences, driving customer loyalty and higher engagement.
  • Efficiency Gains: Automation and AI models allow businesses to optimize processes like supply chain management, reducing costs and improving efficiency.
  • Competitive Advantage: AI/ML capabilities provide clients with insights and tools that differentiate them from competitors who rely on traditional analytics.

Implementation details

  • Sales prediction models (incl. by sales channel / by 30 minutes time ranges etc.)
  • Generative AI solutions (search engines, text analysis, document processing automation)
  • Predictive analytics solutions – aimed to predict customer behavior, optimize pricing, and forecast demand
  • Customer sentiment analysis
  • Marketing campaigns support engines

Use cases

  • ML sales forecasting model
  • Search engine
  • Querry API

OUR PRODUCTS FOR HoReCa INDUSTRY

LEASE AGREEMENTS

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MDM APP

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DATA WAREHOUSE
FROM A BOX

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