Athos Commerce: A Sharper Alternative to Bloomreach

Cut complexity.
Sharpen discovery.

Bloomreach offers a wide range of enterprise tools, but that breadth often brings slower rollouts, reliance on developers, and operational complexity.

Uniting Searchspring, Klevu, and Intelligent Reach, Athos Commerce takes a focused approach, delivering purpose-built product discovery tools designed specifically for merchandisers, not engineers.

Why ecommerce teams switch to Athos Commerce

Built for merchandisers

Take control without waiting on developers. Launch campaigns, optimize search, and adapt to real-time shopper behavior—code-free.

Faster time to value

Athos Commerce goes live in weeks, not quarters. Onboarding is streamlined, tools are intuitive, and support stays close.

AI that drives decision

Athos Commerce brings precision to discovery with:

Natural language search
Personalized recommendations
Dynamic bundling
Intelligent merchandising automation

Campaign agility without bottlenecks

Other solutions like Bloomreach often require development lift. With Athos Commerce, ecommerce teams can:

Apply boost and bury rules
Add promotional badges
Launch bundles and pages
Run A/B tests independently

Choose what works. Skip what doesn’t.

Athos Commerce scales with your business, not around it. Use only what fits—no forced suites or bundled overhead.

Which fits your team best?

Bloomreach suits enterprises aiming to unify CMS, content, and data—especially with dedicated engineering support.

Athos Commerce is made for ecommerce-first teams who want:

Discovery tuned to shopper behavior
Business-user tools without developer drag
Flexible capabilities, not fixed suites
Intent-driven personalization, not just content stitching

Athos Commerce vs. Bloomreach: Fast Facts

Athos Commerce

Bloomreach

Built for ecommerce

Merchandiser-friendly tools

❌ May require developer support

Fast implementation

❌ Typically longer implementations

Personalized discovery

AI-powered search

CMS included

Not required

Product bundling

Available via integration or customization

Feed optimization

⚠️ Requires third-party or extended configuration

Conversational AI (Asklo)

❌ No

Campaign agility

Real-time

❌ Limited

Developer-free merchandising

⚠️ May require developer input

Search analytics + zero-results insights

Headless-ready

Onboarding support

White glove

❌ Varies

Fit for mid-market and enterprise

⚠️ Primarily enterprise-focused

Made for discovery-driven retail

Athos Commerce unifies advanced search, personalization, product bundling, and feed optimization to give merchandisers precision, speed, and flexibility.

Instead of navigating a complex suite or CMS-first structure, your team gets tools purpose-built for modern ecommerce discovery.

Drive faster decisions with conversational AI

Are you losing shoppers on your PDP? Secure and speed up your customers’ purchase journey by using Asklo AI to instantly answer their questions about the product, including materials, ingredients, dimensions, shipping, and much more. Asklo:

Understands natural language queries
Utilizes all product data on a page including reviews, FAQs, specs, and more
Helps increase conversions and reduce friction at key decision points

Ready to streamline the path to purchase? Request a demo.

It really comes down to the overall online experience. Shoppers expect new, relevant, and engaging experiences every time they visit our site, and Searchspring gives us the tools to do just that.”

Julian Peticca

Manager, Digital Merchandising, Bauer

The search functionality offered by Athos Commerce was a huge win for Fabletics. The filters and semantic search capabilities mean that our customer can enter the attributes they want, or search using natural language to find the results they’re looking for.”

Jamieson Yee

SVP, Global Product & QA, TechStyle Fashion Group (Fabletics Tech Partner)

When we got our hands on Athos Commerce, we quickly began making use of boost rules to automatically promote products based on best sellers, high margin items, stock levels and shopper segmentation logic. This meant much less manual merchandising work – and more time for us to spend on strategic initiatives.”

Daniel McLean

Ecommerce Manager, Rip Curl