Thread by @Adweek

🛒 @cartdotcom's Mackenzie Knapp explained how connected data coupled with machine learning can deliver actionable insights to help businesses increase margins, boost ROAS, and optimize inventory costs. #Brandweek 🏝 adweek.it/Brandweek22

“Know your data.”

— @cartdotcom's Mackenzie Knapp #Brandweek 🏝

For most retailers @cartdotcom works with, 30% of their working capital is wasted in excess inventory; 15% of promotional campaigns are impacted by out-of-stock.

— @cartdotcom's Mackenzie Knapp #Brandweek 🏝

Machine learning models can dynamically adjust ad dollars around projections for stock.

— @cartdotcom's Mackenzie Knapp #Brandweek 🏝

Al helps surface recommendations to make better decisions across key areas of your business (ex. Stock out awareness tools optimize ad spend against inventory).

— @cartdotcom's Mackenzie Knapp #Brandweek 🏝

… BUT the foundation is critical: If you have the right data foundation, you can move into AI, but if you don’t, I don’t recommend trying it.

— @cartdotcom's Mackenzie Knapp #Brandweek 🏝

Critical data is often siloed across different tools and services, making it harder for brands to truly understand what levers they can pull to improve profitability.

— @cartdotcom's Mackenzie Knapp #Brandweek 🏝

Connecting insights across storefront, fulfillment, and marketing performance metrics provides a single version of truth and helps brands make smarter decisions faster.

— @cartdotcom's Mackenzie Knapp #Brandweek 🏝