Discounted Devotion? Janmashtami Offer Mapping Across Quick Commerce Platforms
Actowiz Solutions compares Janmashtami offers on puja items & sweets across quick commerce platforms with real-time scraping & price tracking insights.
Discover how Gett used Actowiz Solutions for Ride-Hailing Price Benchmarking. Learn how real-time data helped optimize fares and improve market positioning.
In the dynamic world of mobility services, competitive fare positioning is essential. As pricing algorithms across the ride-hailing sector become increasingly sophisticated, staying ahead requires accurate, real-time insights. Gett, a leading corporate ride-hailing platform, partnered with Actowiz Solutions to strengthen its Ride-Hailing Price Benchmarking capabilities across the UK. With growing variability in urban traffic patterns, weather-related fare spikes, and location-sensitive demand surges, pricing disparities among competitors like Uber and Bolt can occur hourly. By leveraging Pricing & Promotion Analysis, Gett aimed to fine-tune its pricing model to remain competitive, transparent, and profitable while offering superior value to its customer base.
Gett is a global ride-hailing and ground transportation management company, serving enterprise clients with reliable, scheduled, and on-demand services. With operations in over 1,500 cities, Gett focuses on aggregating taxi and executive car services, particularly in the UK and European markets. Their platform integrates multiple providers under one app, offering seamless transport solutions for businesses. As the ride-hailing ecosystem in the UK continues to evolve rapidly, Gett needed reliable intelligence on real-time market fares. Their goal was to implement a strategic approach to Ride-Hailing Price Benchmarking, enabling better partner negotiations, customer satisfaction, and margin control across fluctuating surge-pricing windows.
The biggest challenge Gett faced was the inconsistency and opacity of competitor pricing. Platforms like Uber and Bolt use dynamic pricing algorithms that fluctuate based on location, time of day, demand spikes, and local events. Gett needed to extract real-time surge pricing data from Uber and Bolt to evaluate its relative position during peak and off-peak hours.
Additionally, dynamic price monitoring during surge events in ride-hailing was nearly impossible with manual tracking. Prices could change within minutes, and without automated tools, Gett risked making business decisions based on outdated information. The company also needed competitive price tracking for UK ride-hailing services that factored in city-specific rules, such as congestion charges and peak-hour tariffs.
Another critical need was accurate city-to-city and intra-city comparisons. As Gett looked to expand localized pricing models, it required deep ride-hailing market intelligence to back strategic decisions. This included identifying pricing gaps, promotional anomalies, and fare inconsistencies on a daily basis. The absence of a comprehensive Ride-Hailing Price Monitoring system was hampering Gett’s ability to react in real-time to market trends.
Actowiz Solutions implemented a scalable and precise ride-hailing data scraping solution customized for Gett’s target markets in London, Manchester, Birmingham, and Edinburgh. By deploying web scraping bots that scanned Uber and Bolt's APIs and front-end fare estimators, Actowiz helped Gett compare Uber, Gett, Bolt pricing using data scraping tools every 5 minutes across different pick-up and drop-off points.
The system was programmed to capture data during normal hours and peak events like concerts, rush hours, and rainy evenings—enabling real-time ride fare tracking in conditions that typically triggered price surges. Actowiz also layered historical fare analytics and mapped data to traffic and weather APIs, allowing Gett to spot pricing anomalies.
With location-specific tagging and trend dashboards, Gett unlocked actionable surge pricing benchmarking to calibrate fares for maximum competitiveness without sacrificing margins. Actowiz deployed Location-Based Dynamic Pricing algorithms that fed directly into Gett's decision-making platform.
Additionally, a proprietary Gett price comparison tool was developed by Actowiz to aggregate and visualize all competitor pricing across various timeframes and service tiers. The integration with Actowiz’s Dynamic Pricing Software ensured that Gett could react dynamically, whether by adjusting its fare model or launching real-time promotions during identified gaps.
This strategic partnership also delivered robust competitor price intelligence for ride-hailing, empowering the Gett pricing team to set benchmarks for negotiations and customer experience enhancements. Over a six-month period, Gett reported an average 12% improvement in fare positioning during surge windows compared to the previous year.
"Actowiz Solutions has transformed how we approach pricing intelligence. Their ability to capture and structure real-time fare data from our key competitors has helped us drive sharper decisions, improve profitability, and enhance customer trust. Their tools are now embedded into our core pricing workflows."
—Senior Pricing Analyst, Gett UK
The collaboration between Gett and Actowiz Solutions showcases the powerful impact of real-time data in driving competitive edge within the mobility sector. Through an integrated approach to Ride-Hailing Price Benchmarking, Gett now makes smarter, faster, and more informed decisions that translate directly into customer loyalty and business growth. With Actowiz’s ongoing support, Gett continues to refine its pricing model across UK cities, positioning itself as a resilient and data-forward ride-hailing brand.
For ride-hailing companies looking to sharpen their pricing strategy, optimize margins, and adapt to market volatility, Actowiz Solutions offers a comprehensive suite of tools and intelligence frameworks tailored to the future of urban mobility.
Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.
Find Insights Use AI to connect data points and uncover market changes. Meanwhile.
Move Forward Predict demand, price shifts, and future opportunities across geographies.