Our SME restaurant chain needs a cutting-edge data engineering solution to optimize sales tracking and forecasting. The goal is to implement a real-time analytics platform that can handle large volumes of data streaming from multiple branches to enhance decision-making and improve customer experience.
Mid-level managers and decision-makers within our restaurant chain who need real-time insights for inventory management and sales projections.
Our restaurant chain struggles with delayed access to sales data, which hinders timely decision-making and affects inventory management and promotional strategies.
With rising competition and the need for optimized operations, our management recognizes the value of investing in real-time data solutions to gain a competitive edge and improve profitability.
Failure to address this issue could lead to mismanaged inventory, missed sales opportunities, and an inability to respond to market trends, resulting in decreased customer satisfaction and revenue loss.
Currently, we rely on manual data collection and batch processing systems, which are time-consuming and lack real-time capabilities, putting us at a disadvantage compared to competitors using more advanced solutions.
Our solution will differentiate by leveraging cutting-edge technologies like Kafka and Spark to provide real-time insights, enabling proactive decision-making and tailored customer experiences.
We plan to leverage existing customer data to refine our marketing strategies, focusing on personalized promotions and loyalty programs to enhance customer retention and attract new patrons through word-of-mouth and targeted advertising.