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Actowiz Solutions improved London’s grocery pricing insights using real-time Asda data scraping to support retail decisions and dynamic pricing strategies.
In an increasingly price-sensitive grocery market, regional price monitoring has become essential for competitive positioning. This case study highlights how Actowiz Solutions partnered with a UK-based FMCG client to extract real-time Asda grocery pricing data across London. The project resulted in smarter retail decisions, dynamic pricing models, and better consumer engagement.
Staff manually collected prices weekly, which was time-consuming and inaccurate.
Prices varied across different Asda locations, but no system existed to monitor those differences.
Promotions by Asda were often detected too late, making it difficult to respond competitively.
The client’s internal software tools lacked timely pricing feeds to power dynamic price matching.
Actowiz Solutions implemented a customized web scraping framework to extract city-specific pricing data from Asda stores in London.
| Product Name | Price | Discount | Store Location | Availability | Date |
|---|---|---|---|---|---|
| Heinz Tomato Ketchup 1L | £2.50 | £0.75 | Camden | In Stock | 2025-05-08 |
| Warburtons Bread 800g | £1.15 | – | Croydon | Low Stock | 2025-05-08 |
| Whole Milk 2L | £1.50 | £0.20 | Hackney | In Stock | 2025-05-08 |
1. Asda Website Crawlers: Built using Python + Selenium with headless browsers to mimic normal user behavior.
2. Smart IP Rotation: Prevented blocking using residential proxies and CAPTCHA solvers.
3. Geo-Tagging: Each product’s pricing tied to store ZIP code for hyperlocal pricing analysis.
4. Database Integration: Pushed to cloud-hosted PostgreSQL for client dashboarding.
Enabled near-real-time insights across Asda stores. The client could now track price shifts, flash discounts, and SKU-specific promotions on a daily basis.
With daily price updates, the client's category teams adjusted pricing and promotions within 24–36 hours—down from the previous average of 5–7 days.
With access to fresh competitor pricing, the client’s sales teams launched better-timed offers in sync with Asda markdowns.
Using scraped data from 15+ stores, the client matched prices store-wise, improving price parity by 80% across targeted SKUs.
The client used scraped Asda data to identify gaps in the frozen foods category, where pricing was relatively stable in zones like Kensington and Croydon. This led to a successful frozen dessert product launch.
During Easter 2025, Actowiz’s data showed a 22% drop in chocolate SKU prices in Asda, triggering the client to roll out a flash 3-day discount campaign—resulting in a 17% sales spike.
📊 Example Chart – Asda Chocolate SKU Price Trends in London
(Visual bar chart showing price dips by store and date. Will include if you'd like an image.)
"Actowiz Solutions has transformed our approach to price intelligence. Their ability to deliver hyperlocal grocery pricing from Asda has helped us act faster and stay ahead."
— Category Manager, FMCG Client (London)
With real-time Asda price scraping from Actowiz Solutions, the client in London now enjoys:
This case study illustrates the power of real-time, location-based grocery price intelligence, and how it can dramatically reshape retail strategies in competitive urban markets like London.