Haris envisions a future where food retail analytics move away from static reports and evolve into autonomous, real-time decision engines. This evolution will occur in a clear sequence.
First, the industry will shift from simply tracking competitor restaurant menu prices to using predictive models. Instead of just reacting to the market, these advanced platforms will proactively forecast optimal prices, detect consumer price sensitivity in specific micro-regions, and predict shifts in demand based on external signals like weather, local events, or economic trends.
Next, this process will become even more powerful as platforms integrate real-time inventory and POS data. This will allow for automated menu optimization suggestions that maximize profitability while minimizing food waste, creating a direct link between restaurant data and analytics and operational efficiency.
Lastly, in Haris’s vision, restaurant owners will no longer need to be data analysts. The analytics platform itself will become an autonomous decision engine. It will not just present data; it will make intelligent, data-driven recommendations that restaurant owners can implement directly and free them to focus on what they do best: operations and the customer experience.