59% of trade promotions globally fail to break even!
Leading consumer packaged goods (CPG) companies excel at executing large scale trade promotions, but struggle in running precisely the right promotion at scale – Brand or SKU, Customer, Type of Promotion and Time Period.
MLOps practices help Trade Promotion Managers optimize trade spends with high precision through granular AI-based recommendation engines, effectively brought to production.
With the right processes and technologies, companies can also monitor their models and use this information to take proactive action on business drift in terms of actual and planned impact of promotions.
In this webinar, we will talk about enterprise scale, fully automated MLOps solutions for Trade Promotions, looking into the impact this can create for CPG companies, through a real-world example.
The MLOps Live Webinar Series is a collection of online events during which data science leaders explore the elements of managing and automating machine learning pipelines to bring data science into real business applications. The sessions go beyond theory, with industry leaders sharing challenges and practical solutions.
If you can't attend the live session, you can still register to receive the recording via email.
Head of Engineering at Tredence
VP, CPG at Tredence
Co-Founder and CTO, Iguazio