With the convenience of delivery, takeout, and technology, the modern restaurant industry looks much different than it did in years past. As the food industry continues to evolve, technology providers and sales teams need to understand the rapidly changing environment and leverage data-driven insights to stay ahead of the stakes. This article will provide the frequently asked questions on food industry forecast, with insights on sales prospecting, marketing, production innovation, and data enrichment.
What is food industry forecasting?
Food industry forecasting is the practice of investigating and predicting the potential outcomes of restaurant businesses, looking at market size, menu trends, regional competition, and other key metrics. By looking at the collective data gathered from the foodservice market, technology providers can make data-driven decisions on expanding their operations, sales teams can target leads more efficiently, and marketers can create more effective and engaging campaigns.
What data is used in food industry forecasting?
Data used in food industry forecasting can range from menu trends to restaurant technology coverage. Common types of datasets used are menu analysis, including sales trends, market insights, and operational performance; sales and marketing feedback from prospects and customers; and restaurant consumer surveys. This data provides a comprehensive view of the foodservice market, allowing for more targeted industry research and decision-making.
How can this data be used to develop sales and marketing plans?
Having the right data can help identify existing and potential customers, find new opportunities for revenue growth, and develop more effective sales and marketing channels. Data-driven insights can help sales teams make better decisions on who to target, when to offer promotions, and what kind of offers need to be made. On the marketing side, data can be used to create more relevant and targeted campaigns, targeting ads to the right customers and creating incentives to motivate them to make the purchase.
How can food industry forecasting help with production innovation?
Data can be used to streamline production innovation. By understanding regional competition, menu trends, customer ratings, and other key metrics, restaurants can create new and improved product offerings that are tailored to customer demands. This helps not only existing restaurants, but also helps new kitchens stay competitive as they expand their operations.
What is Data Enrichment and why is it necessary?
Data enrichment is an important step in gathering high-quality data and making informed decisions. It involves cleaning, standardizing, and structuring of datasets to ensure the data is usable and reliable. With proper data enrichment, restaurant owners, sales teams, and marketers can be confident in their decisions as they are now making them with the right data.
