30 likes | 51 Views
A restaurant business, despite being rewarding can become something of a struggle in the wake of increased customer demand and intense competition. With the introduction of new technologies, restaurants are able to collect huge amounts of data that can be used for product trials, marketing, and franchise management.
E N D
Data Analytics in Restaurants to Increase Data Analytics in Restaurants to Increase Traffic Traffic A restaurant business, despite being rewarding can become something of a struggle in the wake of increased customer demand and intense competition. With the introduction of new technologies, restaurants are able to collect huge amounts of data that can be used for product trials, marketing, and franchise management. Restaurant analytics is a combination of raw data turned into easy to use insights that restaurant owners can use to make better decisions. Today, each piece of information, from wait time to tip distribution can be gathered, measured, and presented accurately in a clear manner, prompting quick response and forward-thinking plans for long term success. Here’s how restaurant analytics solution is helping boost sales, revenue, and customer satisfaction: •Enhancing foot traffic during slow periods: Through customer analytics for restaurant, owners will be able to identify the days and times that draw the least traffic. By having this information, restaurant owners can start building a strategy that focuses on driving business during non-peak days of the week.
•Reduce food wastage: Restaurant Point of Sale (POS) lets you control the inventory going in and out of the kitchen. This will make your staff more responsible for the way they cook, deliver and account for each item ordered. •Find growth opportunities: A major benefit of using data to enhance restaurant sales is the ability to scrutinize performance across operations. Once you add a customer engagement solution to it, you will be able to funnel that data back into a campaign thereby drive traffic to a particular location. •Predict customer behaviour: Forecasting discloses insights not only on future purchases and average spend but also on consumer behaviour, shedding light on what restaurant owners can expect and what they should be prepared for. With the right insights, businesses will be able to plan for the future as well as find ways to boost restaurant sales from specific customer segments proactively. •Maximize customer value: Each customer requires something unique to help them engage with a product. By segmenting customers into groups, restaurant owners will able to analyze their value based on a range of factors. Also, owners can look at ways of incentivizing customers who visit less frequently to make them come back again and again. •Create smarter menus: Through menu insights, restaurant owners will get a better grasp on what’s selling and what’s not. Without restaurant analytics, owners might probably think that their best-selling item is the most profitable, which might not be accurate. With analytics, it is easier to conduct analysis in greater detail and move away from evaluating the performance of restaurants, while drilling down into the popularity of items in the menu. •Enhance table turnover: To serve customers properly and create repeat business, restaurant POS systems will facilitate ordering and offer tabletop payment, such that customers can relish a casual bite, leaving satisfied and likely to come back for another meal in the future. Additionally, with faster order and payment, the waiting staff will be able to serve more customers, further enhancing table turnover without rushing guests who may want to stay longer. •Dashboards usage: Restaurant analytics is capable of forecasting accurate sales figures, to spot current correlations. People working with data shouldn’t miss the chance to envision existing data. Since the human brain processes numerical information lot easier by using graphs and charts, therefore dashboards are a step closer to insights.
Through data visualization, people can easily identify areas that need improvement and clarify which factors influence customer behaviour. With dashboards, it is easier to catch trends and establish patterns between business and operational activities.