Peak-Ready CX: How DTLR and Prose Make AI Work When It Matters
Peak-Ready CX: How DTLR and Prose Make AI Work When It Matters
Peak-Ready CX: How DTLR and Prose Make AI Work When It Matters
A practical BFCM conversation on moving from AI experimentation to reliable customer resolution.
BFCM tests more than a CX team’s ability to answer a higher volume of tickets. It tests whether customers can get meaningful help when orders are delayed, promotions create questions, returns rise, and small issues become operationally complex at scale.
Join customer experience leaders from DTLR and Prose for a practical discussion on what it takes to make AI genuinely useful during peak. DTLR will share lessons from how its AI deployment and the amazing results from the initial months. Prose will bring the perspective of a highly personalised ecommerce brand already operating AI in customer experience.
Together, the panel will explore where AI can create real value, what needs to be in place before peak, how to balance automation with customer trust, and which measures matter beyond deflection.
You will leave with a clearer view of how to prioritise AI use cases, prepare workflows for peak, and build an ecommerce CX operation that can resolve more customer work when it matters most.
A practical BFCM conversation on moving from AI experimentation to reliable customer resolution.
BFCM tests more than a CX team’s ability to answer a higher volume of tickets. It tests whether customers can get meaningful help when orders are delayed, promotions create questions, returns rise, and small issues become operationally complex at scale.
Join customer experience leaders from DTLR and Prose for a practical discussion on what it takes to make AI genuinely useful during peak. DTLR will share lessons from how its AI deployment and the amazing results from the initial months. Prose will bring the perspective of a highly personalised ecommerce brand already operating AI in customer experience.
Together, the panel will explore where AI can create real value, what needs to be in place before peak, how to balance automation with customer trust, and which measures matter beyond deflection.
You will leave with a clearer view of how to prioritise AI use cases, prepare workflows for peak, and build an ecommerce CX operation that can resolve more customer work when it matters most.
Speakers
Attila Brozik
CTO at DigitalGenius
Aniesha Jones
Senior Director of Customer Experience, Prose
Sosan Nesari
Strategic Growth at DigitalGenius
What you will learn
Join our webinar
Date: October 30
1:30pm ET/10:30am PT
Join our webinar
A practical BFCM conversation on moving from AI experimentation to reliable customer resolution.
BFCM tests more than a CX team’s ability to answer a higher volume of tickets. It tests whether customers can get meaningful help when orders are delayed, promotions create questions, returns rise, and small issues become operationally complex at scale.
Join customer experience leaders from DTLR and Prose for a practical discussion on what it takes to make AI genuinely useful during peak. DTLR will share lessons from how its AI deployment and the amazing results from the initial months. Prose will bring the perspective of a highly personalised ecommerce brand already operating AI in customer experience.
Together, the panel will explore where AI can create real value, what needs to be in place before peak, how to balance automation with customer trust, and which measures matter beyond deflection.
You will leave with a clearer view of how to prioritise AI use cases, prepare workflows for peak, and build an ecommerce CX operation that can resolve more customer work when it matters most.
Rose Moss
Director of Customer Service at DTLR
Speakers
Aniesha Jones
Senior Director of Customer Experience at Prose
Sosan Nesari
Strategic Growth at DigitalGenius
What you will learn
What you will learn
What peak-ready AI actually looks like
How to prioritise the customer journeys that matter most
How to move from AI answers to customer resolution
How to measure meaningful impact beyond automation
