By Nick Fryer
Whether you’ve been running your restaurant for decades or you’re just getting started, supply chain management can be a challenge. How can you determine what’s driving sales or how to optimize your operations? The answer is data analytics.
Operators need to explore the intersection between data and supply chain management to learn how they can leverage this power to improve their restaurants and drive more revenue.
Understanding the role of data analytics
Restaurants have access to a ton of data – from point-of-sale (POS) to customer order types and purchase patterns, customer feedback, inventory levels, and more. With data analytics, you can take all this raw data and turn it into actionable insights. By incorporating logistics data analysis, you gain the ability to track and optimize the flow of goods from supplier to kitchen, enhancing inventory accuracy and reducing waste.
You can better understand customer habits and preferences, optimize inventory management, and ultimately increase your bottom line. Data analytics provides a comprehensive view of your entire restaurant supply chain operation so you can make more informed decisions.
Why integrate data analytics into your restaurant’s supply chain operations? Data analytics is a powerful tool that can deliver valuable supply chain insights from production to consumption. When you can harness everything it has to offer, you can expect benefits such as:
- Boosting revenue: Make more cost-effective decisions and improve profitability. A study by KX and CEBR found that 80 per cent of surveyed companies saw higher revenue using real-time data analytics.
- Optimizing inventory: Combine sales data, demand patterns, and supplier lead times to precisely manage inventory. That means no over or understocking products and improving overall operational efficiency.
- Reducing waste: Food waste is a huge problem for both a restaurant’s balance sheet and the planet. With data analytics, you can track spoilage rates, item popularity, and usage patterns to save money and reduce waste.
- Enhancing food quality and safety: Data analytics can help monitor the whole supply chain, so you can ensure food quality and safety. Whether you’re a restaurant manager or a distributor, it’s essential to maintain product integrity.
- Making strategic decisions: From marketing to menu options, comprehensive data analytics gives you the ability to make real-time data-driven decisions for better results. Demand forecasts and adapting to new trends are two practical examples.
These are some examples of the key areas where data analytics shine for restaurants. It’s all about optimizing processes, improving resource allocations, and maximizing productivity.
Essential data analytics tools
There are several important data analytics tools, but these are the most essential for your business:
POS with built-in analytics: The point-of-sale holds some of the most important restaurant data you can gather. Many modern systems feature integrated analytics so you can easily track and manage inventory, sales trends, supplier performance, and more. That way, you can stay on top of inventory levels, avoid business disruptions, and make sure that hot new items are always in stock.
AI and machine learning: With the rise of AI and ML, raw data can quickly be analyzed to draw insights. It can look at historical data like supply trends, weather reports, sales history, and even local events to make predictions. These tools are essential for finding inefficiency in the supply chain and helping to optimize operations.
Visibility tools: Communicating data is vital today. Visibility is critical because you can see trends and information at a glance, so it’s easier to make decisions and respond to market movements. For example, you can quickly see product levels and know when it’s time to place a new order. If you’re a distributor, you can see the performance of suppliers to determine who can better meet demands.
Overcoming common supply chain challenges
So, what kind of issues can data analytics help solve with restaurant supply chain management? Here are a few key areas:
Forecasting complexity: One major challenge supply chains face is matching customer demand. You have to walk a fine line to avoid shortages but not end up with too much overflow product. Data analytics can look at past trends and current data to accurately predict when clients will make orders.
Supply chain visibility: Transparency is another major issue for supply chain management. Without it, there can be delays, bottlenecks, and overall inefficient operations. Analytics can track the whole process, from farm to table, with real-time monitoring and quicker response times to disruptions.
Supplier risk management: The pandemic was a wake-up call for the restaurant supply chain, and it showed how fragile it can be. Data analytics can provide early warning signs to help proactively mitigate and address supplier risks.
Improving restaurant supply chain management
Harnessing data analytics for smarter restaurant supply chain management isn’t just a competitive advantage anymore – it’s a necessity, essential for making data-backed decisions based on market trends and customer behaviour.
From inventory management and demand forecasting to risk mitigation and improved profitability, you can tap into the full power of raw data. As we move toward a more sustainable future, data analytics will play a critical role in ensuring we meet waste reduction goals, increase energy efficiency, and optimize resources.
So, if you want to ensure a resilient, more efficient restaurant supply chain, then integrating data analytics needs to be a priority.
Nick Fryer, vice president of marketing at Sheer Logistics, has over a decade of experience in the logistics industry, spanning marketing, public relations, sales enablement, M&A and more at 3PLs and 4PLs including AFN Logistics, GlobalTranz, and Sheer Logistics.
