Zilliant Price IQ - CPQ: Use Cases, Capabilities & Competitors

A €4 billion European manufacturer of climate solutions was growing rapidly due to acquisitions and market expansion. Despite this growth, they were still using spreadsheets for pricing. They hired a... new pricing manager who identified a lack of focus on pricing. The company, with over 15,000 employees, implemented Zilliant Quick Start for Global and Country Price Lists. This established a data-driven pricing approach across their subsidiaries in just weeks.
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A fuel and lubricants manufacturer faced challenges with manual pricing processes as their business grew. Margins were at risk due to cost changes and evolving pricing guidelines. They partnered with... Zilliant to implement a data-driven pricing approach using Zilliant Price Optimization. The success of a regional project led to a global rollout.
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Zilliant Price IQ® helped a Maintenance, Repair and Overhaul distributor boost profit by over 500 basis points in the UK and France. The company faced pricing discipline decline after leadership chan...ges and mergers. Zilliant guided a relaunch using best practices in people, process, and technology. The distributor quickly improved profitability and compliance. Price optimization and pricing analytics drove measurable results.
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Zilliant helped a global food manufacturing company improve pricing processes. The pricing team faced challenges with data sparsity, complex recipes, and fluctuating commodity costs. Zilliant's team ...worked closely with the company to solve these problems. The result was fewer manual price exception requests and faster price guidance updates. This led to a culture of continuous pricing improvement.
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Zilliant's intelligent automated negotiation software helped an electrical products manufacturer speed up their quote response process. The company faced raw material cost volatility and inconsistent... margins due to manual quoting. Zilliant delivered sub-second quote responses and kept pricing consistent. The pricing software and real-time pricing engine improved pricing execution. This led to standardized pricing and better alignment with market conditions.
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