ANALYTICS FOR RESTAURANTS

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1 ANALYTICS FOR RESTAURANTS Make the right decision every time Through insights about every area of your restaurant business Increase Customer Engagement Identify Growth Opportunities Democratize Analytics

2 Increase customer engagement through real-time multichannel targeting, digital marketing and intelligent micro-segmentation Real-Time Multi-Channel Targeting Deliver higher ROI by harnessing customer data from internal and external systems, analyzing customer behavior, uncovering marketing opportunities and engaging customers with personalized omnichannel marketing. Execute personalized 1-1 omnichannel campaigns across channels, based on the customers context. Personalize your communication based on weather, time of day, past purchase behavior, events, etc. Digital Marketing Mobile App: Improve engagement on your mobile app through analytics. Deliver rich media notification in real-time based on customer location, current order, historical engagement with your brand. Online: Influence customers as they place online orders by recommending relevant products that they might like, suggest attachments such as beverage, dessert, etc. Minimize abandonment with timely intervention. Social: Target your best and at-risk customers on social platforms to drive retention and win every meal occasion. 2

3 Intelligent Micro-Segmentation Customer Life-Cycle Marketing Track customers as they move through the stages of new, active, inactive, lapsed. Market to the customers based on the stage they are in. For example: Encourage new customers to revisit to build loyalty. Get your active customers to try out new products, provide offerings that reward their loyalty Proactively identify customers at risk and engage them to retain their loyalty. Identify most relevant offers for inactive customers that they are likely to respond to and increase the chances of re-engaging lapsed customers. Behavioral Clustering, Customer Life Time Value, Churn Prediction, Likelihood to respond Understand why customers come to your locations. What are their taste & occasion preferences. Which products are popular with loyal, high frequency customers? What time of day, day of week, party size are you able to win? Identify if you are winning professionals coming in for breakfast or lunch for 1, or if they are coming in large parties for team outings and family occasions. Measure the lifetime value of each of your customers to identify high potential segments that you should go after and win over. Answer questions like, which are the best neighborhoods, acquisition channels & campaigns? 3

4 Identify Growth Opportunities Store Location Analytics Manthan s Store Location Analytics is a Best-in-class Advanced Analytics solution that meets the objective of identifying the potential of a location. Key questions the solution answers: Where are the pockets of demand? Identify pockets of demand and prescribe a set of potential locations in a given geographic area. Score and rank comparable locations to determine the best location and format for the new store. What is the expected sales of a store in a location? Recommend store format / size for each location. Estimate demand to generate a Sales Forecast for specific locations. Key capabilities Uses a comprehensive set of internal and external data sets that impact store performance. Integration with geo-demographics data sources and combines with the internal store performance data. Leverages an advanced set of machine learning algorithms to predict and prescribe the best locations and their projected performance supported by an interactive set of rich geo-spatial data visualization and analysis toolsets. AI / ML algorithms that learn the type of audience that typically visits the retailer location, predicts the expected 12-month future sales, the store size and format that is most suitable for any given location. The output of the algorithms can be accessed through GIS solutions through application APIs 4

5 Menu Analytics Increase transaction value by recommending menu items/ products which sell well together based on historical sales patterns and customer choices by demography With Product attachment and association you can answer question like: What % of transactions had a bundle of products? If a product A was bought does it increase the likelihood of purchase of product B? Identify meal combos that are most relevant by location by customer segment? Basket Spend / Margin What is the spend and margin and cost of sales of a transaction that contains Meal combo? Basket Composition For a transaction that contains meal combo, what other menu items or bundles are also in that transaction? Deal Composition What is the recipe and sides breakdown for an order that contains $20 bundle that contains sandwich and side combo? 5

6 Democratize Analytics Through FOOD AND BEVERAGE ANALYTICS track business performance across multiple areas of your business. You can: Consolidate all your data into one system and enable cross-analysis Provide easy access to visual dashboards Deliver on-the go access through mobile Enable real-time tracking of key operational metrics Drive advanced analytics and unstructured data analytics Analytical subject areas: Sales & Margin: Provides key insights on performance of stores and product, productivity of resources, depict various trends to provide a holistic picture of day to day business performance. Customer Experience and feedback: Provides the ability to track Net Promoter Score for stores over time. The module gives a view of NPS performance by channel and store and allows deep dive analysis of relationship of NPS with store performance. Operations: Provides analysis of key operational metrics such as delivery time, store efficiencies, labor, etc. The module will allow the franchisee relationship managers to track the performance of the franchise owners by region by store. Human Resource: Provides analysis around employee training, tenure, etc., and their relationship with store performance. Digital Engagement: Provides analysis of online customer purchase behavior based on data collected through Google Analytics. Key analysis related to source of traffic coming to the website, traffic conversion, online sales, etc. are covered here. 6

7 ABOUT US Manthan is a leading cloud analytics company that has pioneered analytical applications for consumer-facing businesses. We excel in the application of decision sciences, advanced math, and artificial intelligence and have a restless ability to invent and bring ideas to life. Headquartered in Bangalore with offices in Santa Clara, London, Dubai, Mexico City, Singapore and Manila, Manthan s current client footprint spans 22 countries. Leading investment firms like Norwest Venture Partners, Temasek Holdings, and Eight Roads (Fidelity International Limited) feature on Manthan s board. For more information, go to