Join us Thursday, August 14th, for a 45-minute preview with Heroku’s Jawad Malik and LaunchPad Lab’s Ryan Francis on how the Retail Associate App Accelerator transforms frontline operations into a revenue-driving machine.
Your store teams are the backbone of your customer experience. Yet too often, disconnected systems and manual processes drain their time and your bottom line. Stockouts, knowledge gaps, and outdated workflows cost retailers billions every year.
It’s time to change that. Get a preview of the Retail Associate Application Accelerator, a ready-to-launch solution you can use out of the box or customize for your business.
Join Salesforce and LaunchPad Lab for an actionable, 45-minute session exploring how this accelerator, built on Heroku, helps retailers bridge the gap between store leadership and frontline teams, turning your people into your biggest competitive advantage.
This session is built for forward-thinking leaders in Retail Operations, Store Innovation, Digital Strategy, and Workforce Experience across grocery, pharma, and big-box retail who want to transform frontline performance and customer satisfaction.
In this live walkthrough, you’ll preview how retailers can empower frontline workers using real-time tasking, embedded micro-learning, and AI-powered support. You’ll also see how the accelerator provides a fast track to adoption, with tools you can launch quickly and scale over time:
This isn’t just a demo. It’s an inside look at how a pre-built accelerator can jumpstart transformation while giving you the flexibility to tailor it to your business needs.
✓ Equip associates with tools to delight customers
✓ Motivate and upskill staff with built-in performance feedback
✓ Unlock real-time visibility for store leaders
Together, these capabilities can become a strategic lever for growth, revenue, and operations.
Register, and you’ll receive a recording and key takeaways after the session.
Join Salesforce and LaunchPad Lab for a live, 45-minute sneak peak of how retailers can empower frontline workers using real-time tasking, embedded micro-learning, and AI-powered support.