This innovative travel service company uses Kapow to comb 500 sites for the best deals.
Customers
Retail
- Home
- Customers
- By Industry
- Retail
Challenge
- Aggregate complete and unfiltered travel information from hundreds of travel sites in real time.
- Provide service at no cost to users; rely on sponsored links and ads for revenue.
Solution
- Kapow automates web intelligence with 600+ robots.
- Batch collection runs every few hours. Robot runs are based on frequency of requested routes.
- Provides real-time updates on-demand to confirm current prices.
- User requests are routed to airline sites to book travel.
Results
- Allows users to search almost 500 travel sites and compare results in one legible display. Unlike many aggregator sites, they include major booking engines, national carriers and most low-cost airlines.
- Separates price search from booking process, enabling much more rapid search results.
- Automated web harvesting makes the company's innovative business model economically viable.
Neckermann, one of the leading multi-channel retailers in Europe, keeps popular products in stock and priced to beat the online competition with automated web intelligence from Kapow.
Challenge
- Neckermann lacked fundamental metrics on their own web business and needed a more effective way to check competitor pricing to compete effectively with online retailers.
- An audit quantified the problem, showing SKUs priced too high relative to the competition and out-of-stocks on popular items.
Solution
- With Kapow, the company has automated web intelligence to support competitive pricing, category management and inventory applications.
Results
- Increased service levels and revenue by reducing out-of-stocks.
- Increased revenue resulting from dynamic pricing strategies informed by real-time view of competitor pricing.
P&G uses Kapow to monitor social media sites for consumer reaction to their company and products.
Challenge
- P&G wanted a more automated way of tracking and responding to social networking discussions that mention P&G products.
- They were performing manual search of websites, but this was too time consuming and they were missing out on vital information needed to make the data sampling relevant.
- The Text Analytics team was responding to requests on an ad hoc basis by doing a search with custom-built robots and providing their analysis in PowerPoint.
Solution
- P&G is now using Kapow robots for social media monitoring.
- They build custom robots to search social media sites for key words related to the brand, circumstance (for example, new product launch) and location.
Results
- LOB managers get real-time insight on consumer reaction to new product releases, product recalls and other issues that affect sales and margins.
- With fresh data, P&G can react and respond quickly to opportunities and threats. This is particularly important for new product releases and product recalls, when problems with products are in the news and under discussion on social media sites.
Plastic Jungle enables customers to sell, buy, exchange or donate gift cards. With Kapow, they can automatically log into gift card sites to validate gift card balance.
Challenge
- Plastic Jungle needed an efficient way to verify gift card balance.
- Manual processes were time consuming, expensive and error-prone.
Solution
- They use Kapow robots to automate the process of logging into gift card sites
- The robots are able to verify the balance on electronic gift cards that owners want to sell to Plastic Jungle.
Results
- The Kapow solution automates web intelligence and integrates seamlessly with their web-hosted application.
- By eliminating manual verification processes, the accuracy and volume of day-to-day transactions significantly improved.
Specialty retailer is using Kapow to automate web intelligence of competitor prices on sporting gear.
Challenge
- The company had a poor handle on management of pricing promotions on their own website and no visibility into how competitors were pricing the same or similar products.
- There are 500 high volume SKUs they need to monitor very closely as these products are bestsellers and cause site visitors to buy other products.
- They wanted to monitor pricing on all products, not just the 500 high volume SKUs.
Solution
- They are using Kapow to automate web intelligence for comparison pricing on all products, with a focus on the high volume SKUs.
- They can now monitor their own website for impact of promotions and price changes.
Results
- They are now better able to monitor their own promotions and make timely price changes on their site.
- They can readily see how competitor pricing compares to theirs and make same-day pricing adjustments on their site and in their stores.
- They can see what competitors are selling, enabling them to make more informed merchandising decisions.
A leading provider of branded merchandise is using Kapow to aggregate supplier data from partner sites so visitors to their e-commerce platform can take advantage of bulk discounts and an industry view of all promotional products and pricing.
Challenge
- Their existing platform only offered intra-company purchasing aggregation – so you could receive a volume discount based on orders your colleagues placed around the same time. They wanted to offer a new technology platform that would give users a view into all products, group discounts and pricing in the branded merchandise industry.
- Specifically, they wanted to pull product data from partner/supplier websites into their application to give customers a 360 degree view of promotional products from 1 website.
Solution
- Kapow automates web intelligence from partner sites, with no coding required.
- Robots will be used to complete e-commerce transactions.
Results
- Their customers are now able to take advantage of bulk discounts while choosing from a larger inventory of products. This results in substantial cost savings and improved service.
- Kapow enables them to integrate with partner/supplier applications in an automated fashion, something they couldn't do before.
Online components distributor is using Kapow to track competitor pricing data on the web.
Challenge
- They needed an efficient way to monitor competitor pricing data.
- Manual data monitoring was costly and time consuming.
Solution
- Kapow automated the process of harvesting competitor pricing information.
- No coding was required.
Results
- By tracking competitor prices in real time, the distributor can adjust their own pricing for competitive advantage.
- By offering consistently competitive prices, they've increased revenue and customer loyalty.
With Kapow, a leading sporting goods manufacturer integrated 40 applications into a new global intranet representing all their brands.
Challenge
- They wanted to build a global intranet with all brands.
- This would require integrating 40 applications into the new intranet.
Solution
- Kapow had proven success with comparable initiatives.
- In the first phase of deployment, they successfully integrated 20 applications via clipping into their new portal.
Results
- Significant savings in development time and effort.
- Extends the value of existing assets without costly rework.