Pricing software for online and omnichannel retailers
AI Powered
Retail Case Studies and Success Stories with Competera
CASE STUDY Intertop
Intertop used Competera's AI-driven pricing platform to improve its markdown strategy. The company managed 114 stores and 5 million SKUs. They replaced manual, blanket discounts with elasticity-based... markdowns. This led to a 2% profit margin increase and reduced repricing time to 15 minutes. Premium fashion brands saw an 18.2% sales surge and 14.4% revenue boost. Footwear brands achieved a 7.6% revenue boost and 10.3% gross profit increase.
CASE STUDY A leading luxury retail operator managing 89 premium cruise ships worldwide
Competera's AI Pricing Solution helped a global luxury cruise retailer improve its pricing strategy. The retailer used Competera to automate price adjustments and monitor competitors in real time. Th...is led to a 30% increase in daily profit per passenger in the fragrance category. The pricing team also reduced their workload by 80%. The solution addressed complex ship itineraries and changing market conditions.
Competera’s price optimization platform helps the Category Manager and their team in retail get fresh data for short-term and long-term planning. Before, collecting and analyzing pricing data took to...o long, making reports outdated and planning hard. With Competera, the team gets instant access to key pricing, sales, and promotion data in easy-to-read graphs. This lets them plan faster, spot problems, and adjust their strategy. The platform supports better profit margin management and more accurate business decisions.
Competera's Competitive Data solution helped Lyreco, a top office supplies retailer, improve pricing intelligence in 24 countries. Lyreco needed better market insights and more reliable data. Compete...ra delivered 2.3 million data points monthly with over 95% product matching accuracy. The solution automated data delivery and scaled to monitor 180,000 SKUs across 150 competitors. Lyreco now makes faster, data-driven pricing decisions and continues to expand the solution.
CASE STUDY A leading US-based Fortune 500 department store chain
Competera's AI-powered pricing platform helped a major US department store chain improve its online business. The retailer faced challenges with old pricing models and needed to compete with more dyn...amic stores. By using AI price optimization, they set better prices and streamlined pricing processes. The results included a 40% increase in online revenue, 30% more new customers, 50% more reactivated customers, 59% more units sold, 25% higher margins, and 71% more visits with purchases.
Consumer Goods Case Studies and Success Stories with Competera
CASE STUDY Sephora
Sephora used Competera's Competitive Data solution to improve its market intelligence. The company needed better data to track competitor coupons and pricing across 13 countries. Competera provided c...entralized data, coupon tracking, and analytics. Sephora achieved 98% match quality, 99% data accuracy, and 98% SLA compliance. The solution delivered 10.9 million data points monthly and reduced manual analysis time.
Flaconi used Competera’s AI-powered Pricing Platform to improve pricing across Europe. The company faced tough competition and manual pricing processes. With Competera, Flaconi automated daily pricin...g and monitored 235,000 SKUs. This led to a 50% reduction in time spent on pricing tasks. Flaconi now enjoys better margin growth and faster pricing updates.
Other Industry Case Studies and Success Stories with Competera
CASE STUDY NOVUS
Competera's AI-powered pricing platform helped NOVUS, a leading Ukrainian supermarket chain, modernize its pricing strategy. NOVUS faced challenges with manual pricing and complex market changes. By ...using Competera's solution, NOVUS automated pricing, integrated with SAP, and used advanced AI for better decisions. After a 6-week pilot, NOVUS saw a 6.7% increase in profits and a 0.3% increase in sales. The solution also removed manual pricing errors and improved operations.