Case Study
Taxi Platform Case Study
Discover how our pricing optimization platform stimulated revenue increases and profit growth for a UK taxi platform, via real-time, AI-based adjustments.
Anat Oransky Lev, VP Marketing
Discover how our pricing optimization platform stimulated revenue increases and profit growth for a UK taxi platform, via real-time, AI-based adjustments.
For retailers, this is a time to ensure that your inventory is well stocked, your website is technologically sound, and your logistical issues are all ironed out.
Transitioning to a dynamic pricing model requires more than a software upgrade. The move is felt throughout the organization and requires C-level sponsorship to succeed.
A European-based online travel agency. 70% of sales are driven by meta search engines. The remaining 30% of sales come from direct traffic, comprised of organic traffic, keyword advertising and SEO.
The ability to respond to local competition has enabled the retailer to expedite its plans for expansion to additional countries. In addition, the retailer expects to increase the variety of its private brand.
When your customer is on site, real-time pricing decisions driven by artificial intelligence can be the difference between winning or losing the sale, or selling at a small profit or a large one.
Retail is the primary user of pricing optimization since price is one of the primary brokers of every purchase
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Tariffs Are Paused. Use This Window to Build a Smarter Pricing Response. Learn How
