Beyond Basic Reports: How Aggregated Sales Transactions Can Transform Your Business

Aggregating sales transaction data from different channels can help a food and beverage (F&B) business owner understand their customers' buying behavior and identify patterns and trends in their sales. By collecting data from all their sales channels, such as in-store sales, online sales, and delivery orders, the business owner can get a complete picture of their sales performance.

One of the key benefits of aggregating this data is the ability to monitor the business closely and identify any anomalies in sales. For example, if a business owner notices a sudden drop in sales from a particular channel, they can investigate the cause and take action to address it. This could include adjusting prices, promoting certain products, or improving the customer experience.

Another benefit of aggregating data is the ability to derive optimization insights. For example, the business owner can see which products are selling well and which are not, and adjust their inventory accordingly. They can also see which days of the week or which hours of the day are the busiest, and plan staff and inventory accordingly.

In summary, aggregating sales data from different channels can help F&B business owners to closely monitor their business, identify anomalies, and derive optimisation insights which will help them to stay in business profitably and avert adverse business outcome.

Lets see what a multi-chain F&B can do with these aggregated data

Identifying Best-Selling Products: By analyzing sales data from all their locations, the business can identify which menu items are the most popular among customers. For example, if they see that a particular dish is selling well at one location, but not at others, they can consider adding it to the menu at other locations.
Optimizing Inventory Management: By analyzing sales data, the business can identify which products are selling quickly and which are not. This can help them optimize their inventory management by ensuring that they have enough of the popular products on hand, while reducing the amount of slow-selling items.
Identifying Busiest Times: By analyzing sales data from all their locations, the business can identify the busiest times of the day and week for each location. This can help them plan staffing and inventory levels accordingly. For example, if they see that one location is busiest on weekend evenings, they can ensure that they have enough staff and inventory on hand to handle the increased demand.
Improving Marketing Strategies: By analyzing sales data, the business can identify which marketing strategies are driving the most sales. For example, if they see that a particular promotion or advertising campaign is driving a lot of sales at one location, they can consider implementing it at other locations.

Why is doing this so difficult for many companies out there?

Lack of resources: SMEs often have limited resources, both in terms of personnel and budget. As a result, they may not have the ability to invest in the necessary technology or staff to collect and analyze data.
Data silos: SMEs may have multiple sales channels and systems in place, such as in-store sales, online sales, and delivery orders. These systems may not be connected, which can make it difficult to aggregate the data and get a complete picture of their sales performance.
Lack of technical knowledge: Many SMEs may not have employees with the technical knowledge and expertise needed to collect, analyze and interpret the data.
Limited data storage capacity: Some SMEs may have limited data storage capacity, which can make it difficult to store and access large amounts of data.

Currently, SMEs are doing it by using simple tools such as excel sheet, point-of-sale systems and also some of them are manually collecting the data which can be time-consuming and prone to errors.

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