The document outlines advanced analytics solutions for restaurants aimed at improving decision-making, increasing customer engagement, and identifying growth opportunities. It highlights the use of real-time multi-channel targeting, customer life-cycle marketing, store location analytics, and menu analytics to enhance operational efficiency and customer loyalty. Manthan, the company behind these solutions, specializes in cloud analytics and serves clients globally.

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. 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.
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Increase customer
engagement
through real-time
multichannel
targeting, digital
marketing and
intelligent
micro-segmentation

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?
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4. 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
Identify Growth
Opportunities
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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?
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6. 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.
Democratize
Analytics
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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 www.manthan.com