Guess?

For more details on implementing JDA pricing solutions or how we solve the challenges discussed above, contact Ryan Kinzy

For more details on implementing JDA pricing solutions or how we solve the challenges discussed above, contact Ryan Kinzy

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DoubleBlaze Implements JDA Pricer at Guess to Boost Profits via Flexibility, Speed, and Accuracy

  • Guess gains higher profits with smarter, easier pricing solutions.
  • Consolidated pricing system puts everything in one place for better decision-making and faster deployment.

The Guess Challenge

Guess (North America) needed a better system for managing prices. Competitive threats were driving the need for more speed and flexibility. Coordination between host merchandising, eCommerce, and point-of-sale systems had become too cumbersome.

After DoubleBlaze implemented the JDA Pricer solution, Guess saw an immediate boost in profitability for both online and store-based sales, with a pricing management system that was more powerful and easier to use than before.

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Key Results

Guess Project Manager, Jen Lange, describes several wins that Guess gained through this implementation

  • “Because of our increased speed and flexibility we routinely adjust individual store prices based on store inventory, promotions, local trends, local weather, competitor moves, etc. We can do this for a week or a weekend, tuning our prices to maximize profitability.
  • “With faster price corrections, we have reduced lost profits from lost margin if prices are too low, or lost sales volume if prices are too high, as well as errors in consumer behavior analysis (i.e., purchases based on incorrect prices).  Changes that took 2-½ hours now need just 20 minutes.”
  • “We are much smarter about pricing outcomes, thanks to the JDA Pricer tool. Now, we can readily determine effective prices regardless of overlapping hard marks, promotions, coupons, etc. Our pricing models are more accurate, and easier to create across our product lines.”
  • “We’re spending more time thinking and less time manipulating data. Previous systems were based on multiple spreadsheets, databases, and other tools. We spent much of our effort just getting the data to line up so that we could read it or send it. Now we spend much less time handling data which gives us much more time to ask good questions and design smart pricing.”
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