Due to the nature of demand and competitiveness, the consumer electronics vertical in retail is one of the most challenging for retailers looking to build a sustainable and growing business.
Dynamic pricing has become an industry standard. But what does this truly mean? What should you be getting out of dynamic pricing? How can you ensure that you are not just price matching? Or working based on hunches? How can pricing managers use science to set the right pricing strategy to meet business goals?
Retail is the primary user of pricing optimization since price is one of the primary brokers of every purchase
The Covid-19 pandemic has overwhelmingly impacted the retail industry across the globe. Social distancing measures and anxiety over the viral transmission of the disease have led to the enforcement of high street store closures and an accelerated shift to digital across the end-to-end customer journey.
For retailers operating in a B2C world, there are literally hundreds and thousands of different factors that can help determine the optimal pricing strategy. Artificial intelligence and machine learning deliver the ability to harness the real-time visibility your organization needs to set the right price on every SKU, in every market, across your omnichannel sales ecosystem.
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How to leverage pricing Infrastructure and inventory management to shield against rising inflation and make lemons into lemonade
There are several key reasons why brands are seeking to tap into the D2C market. Many CEOs view it as a strategic decision, as it’s a rising trend around the world.
Quicklizard has been listed in Gartner’s January 2021 “Market Guide for Retail Unified Price, Promotion, and Markdown Optimization applications” as a Representative Vendor.
A few weeks ago, Quicklizard made the jump from private to public, with an IPO on the Tel Aviv Stock Exchange. The company has come a long way from its humble roots, when Pini Mandel and Yossi Cohen co-founded Quicklizard as a BI tool that used competitor data to drive rule-based pricing decisions.
