Marianne Brits-Strodl, Group COO at BI: PROCSI and CEO at Dataru

Marianne Brits-Strodl is the Group Chief Operating Officer (COO) of BIPROCSI, a technology consultancy specialising in data solutions, and her understanding of cutting-edge technologies is further exemplified by her role as CEO of a sister company, Dataru, leading the way in developing a groundbreaking SaaS platform driven by ML and AI. Marianne is recognised for her operational expertise, excelling in cost reduction, enhancing flexibility, and delivering outstanding value in demanding environments. She implements agile strategies and fosters a culture of adaptability, enabling organisations to swiftly respond to shifting market demands and dynamic business landscapes. With an unwavering commitment to operational excellence, Marianne empowers teams and cultivates a positive culture that unlocks the full potential of individuals. 


The growing awareness surrounding AI has caused organisations to fear its potential impact on their future. However, it is imperative for the C-suite to acknowledge that AI should not be regarded with trepidation only but instead as a transformative force capable of propelling organisations to unprecedented success. Companies that embrace AI and incorporate it into their strategies will gain a competitive advantage, while those that resist its adoption risk being left behind. 

As the Group Chief Operating Officer (COO) of BIPROCSI, a technology consultancy specialising in data solutions, and CEO of Dataru, a pioneering SaaS platform driven by ML and AI, I am privileged to lead the way in utilising cutting-edge technologies to enhance business processes. I have witnessed firsthand the transformative effects of these technologies on operational efficiency, cost reduction, and overall business success.

But exactly how can AI and ML benefit modern-day businesses?

Data is the lifeblood of any organisation, and the volume of data being generated today is unprecedented. AI, predictive analytics, and ML (*machine learning) enable us to extract meaningful insights from this data, empowering us to make informed decisions and drive business success. By leveraging these technologies, we can efficiently collect, process, and analyse vast amounts of data, transforming it into actionable intelligence.

With AI and ML algorithms, businesses can uncover patterns, trends, and correlations that would be difficult or impossible to identify manually. This allows for more accurate predictions, better understanding of customer behavior, and improved decision-making. Companies can use AI-powered tools to perform sentiment analysis, customer segmentation, demand forecasting, and market trend analysis, among many other applications. The ability to harness the power of data through AI and ML is a game-changer in the modern business landscape. To explain further, I’ll share some advantageous and specific business use cases within some of the biggest industries. 

Enhancing Operational Efficiency

One of the key advantages of AI and ML is their ability to automate repetitive and time-consuming tasks. We can streamline business processes, reduce manual errors, and enhance operational efficiency by implementing intelligent systems. From automating customer support through chatbots to optimising supply chain management and inventory forecasting, AI-driven solutions enable us to allocate resources effectively, maximise productivity, and focus on strategic initiatives. AI-powered automation can revolutionise various aspects of business operations. 

Use Case: Enhancing Operational Efficiency in the E-commerce Industry with AI-Driven Automation and Analytics

Industry: E-commerce

Problem Statement

Company XYZ is an e-commerce business and is grappling with manual and time-consuming processes, resulting in operational inefficiencies and challenges in scaling their business. The company aims to enhance operational efficiency by leveraging AI and ML technologies to automate tasks, optimise processes, and gain valuable insights for data-driven decision-making.


  • Personalised Customer Experience:The organisation developed a recommendation engine that can analyse customer behaviour, purchase history, and browsing patterns to provide personalised product recommendations. This improved the customer experience, increased conversion rates, and enhanced operational efficiency by reducing manual product searches.
  • Inventory Management and Order Fulfilment: The company used ML algorithms to forecast demand and optimise inventory levels. By automating the replenishment process and ensuring the availability of popular products, the company reduced stockouts and overstocking, which led to improved customer satisfaction and cost savings.
  • Automated Order Processing: Company X implemented AI-powered processes and tools to automate order processing, from order verification to shipping label generation. This eliminates the need for manual intervention, reduces errors, and speeds up the order fulfillment process.
  • Customer Support and Chatbots: Company X utilised AI-powered chatbots and virtual assistants to automate customer support processes. Chatbots can handle routine customer inquiries, provide order updates, and assist with basic troubleshooting. This reduced the workload on customer support teams, improved response times, and ensured consistent and efficient customer service.


By implementing AI-driven automation and analytics solutions, the e-commerce company achieved significant improvements in operational efficiency and scalability. They experienced a 30% reduction in manual effort, a 20% increase in order fulfillment speed, and a 15% decrease in customer complaints. The enhanced operational efficiency enabled the company to scale its business and achieve sustainable growth.

Performance Monitoring and Analytics

AI analytics tools collect and analyse data from various operational processes, identifying bottlenecks, inefficiencies, and opportunities for improvement. Real-time dashboards and reports provide actionable insights to management, enabling them to make data-driven decisions and continuously optimise operations. By monitoring key performance indicators (KPIs) in real-time, businesses can identify areas of improvement, track progress, and ensure that they are on the path to achieving their goals.

Increased operational visibility and data-driven decision-making, enabling continuous process improvement.

AI and ML have significantly enhanced operational visibility and data-driven decision-making, leading to continuous process improvement in various industries. It empowers organisations with enhanced operational visibility, enabling data-driven decision-making and continuous process improvement. These technologies provide valuable insights, facilitate automation, optimise resource allocation, and drive efficiencies across various operational domains, ultimately leading to improved business outcomes. It has significantly enhanced operational visibility and data-driven decision-making, leading to continuous process improvement in various industries.

Company Use Case: Transforming Decision-Making in the Gaming and Betting Industry with AI and ML

Company: XYZ Gaming and Betting

Problem Statement

As a leading player in the dynamic and competitive gaming and betting industry, XYZ Gaming and Betting understand the importance of making informed decisions to maximise revenue and stay ahead of the competition. However, traditional data analysis and decision-making approaches have proven inadequate in meeting the industry’s evolving demands. To address this challenge, XYZ Gaming and Betting sought a solution that leveraged AI and ML to provide data-driven insights, enabling the company to make strategic choices, assess risks, optimise processes, and adapt to changing market dynamics.


  • Real-time Data Analysis: XYZ Gaming and Betting implemented algorithms to analyse real-time data from multiple sources, including player behavior, game performance, and market trends. By processing and interpreting this vast amount of data, the company gained valuable insights into player preferences, emerging trends, and other crucial factors.
  • Predictive Modeling: To enhance its decision-making capabilities, XYZ Gaming and Betting developed sophisticated predictive models using ML techniques. By analysing historical data and incorporating external factors like sports events or market conditions, the company was able to forecast player behavior, game performance, and revenue outcomes. This enabled them to anticipate player demand, optimise game schedules, and adjust betting odds for maximum profitability.
  • Risk Assessment and Fraud Detection: XYZ Gaming and Betting employed AI algorithms to assess risks and detect fraudulent activities within the industry. ML models were trained to analyse patterns, transaction data, and player behaviour, enabling the company to identify potential fraudulent activities or irregularities. This proactive approach helped minimise financial losses, ensured fair play, and maintained the integrity of the company’s operations, building trust among players and safeguarding its reputation.
  • Personalisation and Player Engagement: By leveraging AI and ML, XYZ Gaming and Betting personalised player experiences and enhanced player engagement. Through the analysis of player data, such as preferences, playing patterns, and demographics, the company tailored game recommendations, promotions, and loyalty rewards to individual players. This level of personalisation significantly improved player satisfaction, increased retention rates, and ultimately drove revenue growth.
  • Process Optimisation: XYZ Gaming and Betting harnessed the power of AI and ML to optimise its operational processes. By analysing data from various operational aspects, including customer support, payment processing, and game performance, the company identified bottlenecks, streamlined processes, and improved overall operational efficiency. This resulted in faster response times, enhanced customer experiences, and cost savings for the organisation.


In a world driven by data, AI, predictive analytics, and ML hold the key to unlocking unlimited opportunities for businesses. Embracing these transformative technologies is no longer a choice but a necessity for companies that aspire to thrive in the modern landscape. 

By harnessing the power of data, enhancing operational efficiency, and making data-driven decisions, organisations can gain a competitive edge and secure a brighter future. The time for hesitation and resistance has passed. It’s time to embrace the AI revolution and unleash its potential in your business. Those who dare to innovate, automate, and optimise with AI will rise above the competition, while those who remain stagnant risk being left behind in a rapidly evolving world.

Remember, the power of AI is not just a buzzword—it’s a game-changer. Are you ready to play?

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