Ecommerce Growth 45% Faster with Price Intelligence vs Price Monitoring Strategies – Let’s See How?
Discover how ecommerce brands grow 45% faster using price intelligence vs price monitoring, boosting profits, competitiveness & smart pricing.
Learn how New York City retailers used real-time data scraping from Walmart and Uber Eats to optimize pricing, stock, and promotions, fueling quick commerce growth.
New York City is one of the most competitive retail environments in the world. With a dense population, fast-paced lifestyle, and high reliance on delivery services, NYC has become a proving ground for quick commerce innovation.
Platforms like Walmart Grocery and Uber Eats dominate grocery delivery in the city, offering speed, variety, and convenience. For local retailers, the challenge lies in competing with these giants while keeping margins intact.
This case study highlights how Actowiz Solutions helped NYC retailers harness real-time grocery data from Walmart and Uber Eats to stay competitive. By leveraging insights into pricing, stock availability, promotions, and delivery speed, these businesses unlocked significant growth in their quick commerce operations.
Retailers in New York face unique challenges:
Without access to real-time competitor data, many NYC retailers were either over-discounting (losing margins) or underperforming in promotions (losing customers). They needed reliable intelligence to keep pace with Walmart and Uber Eats.
Actowiz Solutions implemented a customized web scraping framework for NYC retailers to capture live competitor intelligence:
Data was delivered in dashboards, Excel reports, and API feeds so retailers’ operations, marketing, and pricing teams could act immediately.
After six months of implementing Actowiz Solutions’ scraping and data delivery system, NYC retailers saw major gains:
Such insights gave retailers the ability to undercut Walmart or Uber Eats pricing strategically while ensuring faster local delivery.
Product | Walmart Price | Uber Eats Price | Stock Status | Avg. Rating | Delivery ETA |
---|---|---|---|---|---|
Milk 1 Gallon | $3.19 | $3.39 | In Stock | 4.6/5 | 1 hr |
Organic Apples 1lb | $2.49 | $2.59 | Low Stock | 4.8/5 | 45 min |
Cereal Family Pack | $4.89 | $5.29 | In Stock | 4.5/5 | 1 hr |
Bread Loaf | $2.29 | $2.79 | In Stock | 4.7/5 | 30 min |
The turning point was data-driven agility. Retailers weren’t just collecting competitor information—they were acting on it immediately:
This gave local retailers the ability to compete toe-to-toe with national giants.
New York’s quick commerce is expected to grow by 20% annually over the next five years. Retailers who continue to harness Walmart and Uber Eats scraping data will lead the way in:
Actowiz Solutions is already helping NYC businesses integrate predictive analytics into their scraping workflows, ensuring they don’t just respond to trends—they stay ahead of them.
Through ethical scraping and APIs that capture prices, promotions, reviews, and delivery metrics.
Yes—independent shops benefit the most by gaining insights into Walmart’s pricing strategy.
Yes, when done responsibly—only public data is extracted.
CSV, Excel, JSON, and APIs for real-time integration.
Retailers usually receive hourly or daily updates.
Most NYC retailers saw 23% growth in revenue within two quarters.
Manhattan, Brooklyn, and Queens where quick commerce adoption is highest.
Yes—tracking delivery times helps benchmark against competitors.
We don’t just provide raw data—we deliver structured, actionable intelligence tailored for quick commerce.
Integration with AI demand prediction and expansion into hyper-local (ZIP-code level) dashboards.
Are you a retailer in New York struggling to compete with Walmart and Uber Eats? With Actowiz Solutions’ real-time data scraping services, you can optimize pricing, promotions, and stock availability to drive quick commerce growth in NYC.
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.