Shopper is BFCM-Ready: Leading the Future of Conversational Commerce

AI has fundamentally changed the way people shop. With tools like ChatGPT becoming the norm, conversations are quickly replacing general searches as the new path to purchase. Consumers expect every brand interaction to feel smart, personal, and instantly helpful.

But delivering that kind of on-brand conversational experience is incredibly complex. You need an AI tool with deep product knowledge that can capture your brand voice and handle real-world edge cases with sophistication. It’s a tall order, but Postscript has been perfecting conversational SMS for years. Shopper was built for exactly this future. We’ve done the hard work testing with top brands, refining playbooks, and building the tools you can put to work this BFCM and beyond.

And with our latest round of updates, Shopper is more powerful than ever. Over the past few months, we’ve focused on three major themes, all shaped by feedback from our customers:

• Improved Data and Response Accuracy

• Easier Troubleshooting and Onboarding

• BFCM Readiness

Here’s a closer look at what’s new with Shopper.

These updates help Shopper understand your brand better so its responses and recommendations are more on-point.

Merchants can now upload .txt files directly to Postscript’s Brand Center, giving you more opportunities to train Shopper on brand/product details. Simply upload a file with FAQs or product details, and Shopper will reference that data to generate more precise, brand-aligned responses. Support for additional file types and data sources is on the way. This is available today to all brands using Shopper.

Many brands store custom data in Shopify metafields. Shopper can now access that data, giving it deeper context to deliver more complete and accurate product recommendations for subscribers.

Because every brand structures metafields differently, we’re taking an especially thoughtful approach to this release. There’s no single standard so we’re learning alongside our beta partners to ensure Shopper handles each unique setup with accuracy and care.

If you’re interested in joining this closed beta, reach out to your Customer Success Manager.

Shopper just got a major upgrade in how it understands your content. It can now read and interpret FAQ pages and other unstructured text much more intelligently.

While many AI tools still depend on rigid, structured inputs, Shopper’s already moving past that. This is the kind of quality-of-life improvement that lets you keep using Shopper knowing it’s only getting more sophisticated over time.

This update is in progress and will roll out to all brands in the coming weeks. As it’s completed, you’ll notice more natural, accurate, and consistent customer conversations.

Shop Level Guidance allows for more control over fine-tuning and customizing Shopper’s behavior with brand-specific strategy, voice, and product rules. Think: “urgency vs. brand values” preference in copy generation, product recommendation logic, tone cues - all instantly injected into the AI’s reasoning so every conversation feels on-brand, on-strategy, and uniquely yours.

Because every brand’s strategy is unique, we’re taking time to test, learn, and refine before expanding access. Insights from this closed beta will inform future updates to Brand Center.

These updates make onboarding smoother and make it easy to see how Shopper’s responding, spot areas for improvement, and make quick adjustments to keep conversations brand-aligned.

The new Product Catalog tab in Brand Center shows marketers the specific product details that Shopper is ingesting.

With this update, you can quickly verify that Shopper is pulling in the right product data during onboarding. And if Shopper doesn’t respond as expected, you can immediately check whether that information exists in the data being ingested and make adjustments as needed.

That level of transparency makes it easy to diagnose and fine-tune Shopper’s performance, ensuring it’s trained on complete, accurate information before peak traffic hits. Product Catalog is rolling out now and is expected to be available to 100% of brands using Shopper by the end of October.

The redesigned Links and Documents tab in Brand Center gives teams a clear view of which links and documents Shopper is using, making it easier to understand why certain content was referenced. This update also sets the stage for future enhancements, including support for additional link and document types. It’s live today for all brands using Brand Center.

The new Subscriber Profile Timeline brings every subscriber interaction into one clean, unified view inside Conversations. It combines all messages and Shopify data into a single chronological thread, giving you a complete picture of each customer journey at a glance.

For long-time users of Shopper or SMS Sales, this release will feel like a natural evolution. For others, it’s a major improvement over switching between the Responses and Subscriber Details tabs. No data will be lost in the transition. The rollout is underway now, with full availability expected by the end of October.

These updates focus on offer management and revenue visibility to make managing discounts, tracking performance, and understanding the true impact of conversational sales even clearer.

You can now inform Shopper about upcoming sitewide sales, including when they start and end, if subscribers need a code, and about any exclusions or limits. Shopper will use that information to share the best offer with each subscriber, whether it’s an SMS-only deal or your biggest sale of the year.

Sitewide Sale Awareness was one of our most requested features and is now live for 100% of users. Set it up today to make sure Shopper is ready to highlight your best offers this BFCM.

Conversation Revenue Reporting helps brands attribute revenue to conversations within Flows. Brands using conversation-driven flows in tandem with Shopper typically see a 5–15% lift in revenue. With this release, you can A/B test conversational strategies to measure their impact and continue optimizing Shopper’s performance. The rollout is underway now, with full availability expected by the end of November.

With Unique Offers and Multiple Offers, Shopper now gives brands more flexibility and protection when it comes to discounting.

Unique Offers allow merchants to generate dynamic discount codes, eliminating the risk of coupon leakage and misuse. Each subscriber receives a code that’s uniquely theirs, helping brands maintain profitability. This feature is being rolled out to all shops with full availability expected by the end of November.

Multiple Offers allows brands to manage and assign different offers within Shopper. This opens the door to more strategic, tiered discounting that matches the organic way customers shop. This feature is being rolled out to all shops with full availability expected by the end of October.

We’ve worked diligently over the past several months to get Shopper ready for the holiday rush, but these updates go way beyond BFCM prep. They’re another step toward building the future of AI-powered shopping. With real-world data, proven playbooks, and robust brand controls, Shopper makes sure every message hits the mark and drives real value.

If you’re not using Shopper yet, get in touch with our team to get started in time for BFCM.