
In today's highly competitive and disruptive business environment, companies face significant challenges in achieving sustained profitable growth. Factors such as technology disruption, changing consumer preferences, intense competition, and outdated operating models make it difficult to achieve expected ROI from trade and promotion investments, which typically account for one third of a company's P&L. To gain a competitive edge and improve profitability, companies are turning to data-driven Revenue Growth Management (RGM tools).
During the event our speakers will dive into the future consumer and how to anticipate on changing consumer behaviour factoring in technologies that both exist now and may exist in future. By leveraging commercial analytics throughout the organisation, companies can identify opportunities to optimise revenue growth through pricing optimisation, promotion optimisation, product assortment optimisation, and inventory management. And Unilever will take us in their Net Revenue Managememt (NRM) journey and how they adopted an NRM mindset for their brands to unlock growth potential.
Afterwards there is ample time to discuss further during the networking drinks kindly offered by EY.
Programme:14:30 - Opening by Simon van Ulden (EY)
14:45 - Future Consumer and AI by Edwin Kerkmeester (EY)
15:00 - Unilever – Fireside Chat on the RGM journey by Akshat Pipersenia (Unilever)
15:30 - BREAK
15:45 - Consumer Commercial Analytics Platform demo (CCAP) by Alex Hanmer & Tim Sweep (EY)
16:30 - Generative AI – client case by Koen Groot (EY VODW)
17:00 - Networking, Demo & drinks
Event Details
Simon van Ulden
Data & Advanced Analytics Leader, EY
Edwin Kerkmeester
Markets Leader Consumer Industries & Client Service Partner, EY
Akshat Pipersenia
Head Consumer Strategy & Planning, Unilever
Koen Groot
Lead Customer & Growth for Consumer Products & Retail, EY VODW
Alex Hanmer
Global Revenue Management Leader, EY
Tim Sweep
Commercial Analytics Manager, EY
Sophie Christovassili
EMEIA wavespace at EY
01/11/2023 13:30 GMT - 17:00 GMT