Restaurants Analytics
From improving customer footfall to expanding operations in newer markets, the strategies and decisions of a successful restaurant are driven primarily by data and insights. With increasing volumes and complexities in customer, demographic, and transactional data, a major challenge is in effectively extracting, simplifying, and providing the right insights to the right teams at the right time.
Sigmoid’s Data Engineering and Data Science expertise help you analyze, refine, and boost your restaurant chain’s big data infrastructure and data strategies. Whether your goal is to increase repeat buying, improve the same store sales growth, analyze customer insights for loyalty programs, empower franchisees with insights, or technology transformations like migrate from an on-prem infrastructure to cloud, build robust ETL pipelines: our data-driven solutions help you stay on top of your business.
Our Data Engineering enables QSRs to:
Consolidate, clean and process data
Create restaurant data warehouses
Productionize and scale ML models
Automate and manage end-to-end data
Providing End-to-End Data Solutions at each stage of the Quick Service Restaurant
| Marketing Effectiveness | Personalization | 360° Mapping of Customer Journey |
| Demand Forecasting | Sales Forecasting | Inventory Optimization |
| Predictive Maintenance using telemetry and sensor data | Location Selection | Labour Forecasting |
| Personalized Recommendations- in store, digital | Route Optimization | Delivery Services Optimization |
Our Expertise
Customer Segmentation
Quickly identify trends, predict purchase behaviours, and segment customers to improve targeting and set agile business strategies for a more holistic customer experience
Targeted Promotions
Analyze purchasing preferences and customer segments to test relevant, personalized offers and marketing campaigns that increase engagement, loyalty and overall revenues
Customer Life-Time Value
Capture customer information through apps, feedback, reviews, or loyalty programs, and test who are more receptive to certain combos or offers and reward them to increase loyalty
Cloud Migration
Increase operational efficiency, speed and agility at reduced maintenance costs. Lower system downtime by migrating to the right cloud environment that meets your requirements
Customer Data Platform (CDP)
Transition stand alone conventional CRM systems to robust CDPs. Leverage available data across touchpoints to create customer groups and drive personalized initiatives
Productionize & Scale ML Models
Build and develop scalable production grade systems to transition to a full-fledged agile system with automated training, testing, logging and alerting for faster and accurate insights
Sales Forecasting
Analyze customer, demographic and competitor data on restaurant sales to benchmark performances and identify factors impacting sales through accurate forecasting models
Price Analytics
Refine your pricing strategies to make it more dynamic, by utilizing all the available datasets to its full potential and leverage opportunities to rationalize prices based on competition
Voice of the Customer
Analyze social media platforms for Sentiment Analysis using NLP to gather customer expectations, preferences and comments to glean useful business insights at speed
Success Stories
Recommended Reads
Customer Data Platform (CPD): A Need or Necessity?
Consumers today create a heap of data and digital footprints than ever before. Starting from geographical, transactional or behavioral data, to data from ad impressions, purchases, product usage, it’s everywhere.
The Rise and Rise of Price Analytics!
Recently Netflix launched Rs 199 ($2.8) mobile-only monthly plan in India. CyberMedia Research (CMR) reported that after the release of the new mobile plan, Netflix now has the potential to reach 3.7 million…