OnDemand WTP Pricing Research

Tag: Pricing Team

Zilliant Showcases End-to-End Pricing and Sales Growth Capabilities at MindShare 2019 | Zilliant

Zilliant Showcases End-to-End Pricing and Sales Growth Capabilities at MindShare 2019 | Zilliant

AUSTIN, Texas, May 20, 2019 – Zilliant, the industry leader in AI-driven pricing and sales growth solutions, hosted its annual MindShare user conference last week in Austin. The company welcomed customers from around the world to share their experiences with Zilliant’s end-to-end suite of SaaS-based Price Management & Optimization and Sales Growth solutions. Attendees participated […]

MindShare 2019 – May 14-16 | Zilliant

MindShare 2019 – May 14-16 | Zilliant

Want to Drive Profitable Growth in 2019? The B2B industry is consistently failing to capture hidden pockets of revenue and profit that can be uncovered today. Learn from industry experts on how to put an end to profit leakage for good. Zilliant MindShare welcomes you to our ecosystem of best-in-class partners and thought leaders. You […]

Webinar (On-Demand): Machine Learning & Data – The Latest Pricing Opportunity | PPS and Vistaar

Webinar (On-Demand): Machine Learning & Data – The Latest Pricing Opportunity | PPS and Vistaar

In today’s ever-evolving world, data and software driven strategies are imperative to creating sustained commercial success. Computers are more adept than humans at sorting through data with complex variables such as frequently fluctuating costs, rapidly evolving pricing models, and shifting customer priorities. Modern pricing software solutions, powered by advanced algorithms and machine learning techniques, enable […]

How Well Does Your Pricing Organization Learn From the Field? | Pricing Matters

How Well Does Your Pricing Organization Learn From the Field? | Pricing Matters

Unlock latent potential with price experimentation With every price quote or posted price, there is an opportunity to learn about the market, and in turn, improve pricing. Yet, a tremendous amount of the information is not captured, systemized or utilized, neither by people in pricing nor the algorithms they employ. The potential in learning from […]