We compared six platforms built for that operating model. Endear, Tulip, and BSPK add an engagement layer to an existing retail stack, while NewStore, Cegid Retail, and Teamwork Commerce connect clienteling with broader commerce operations.
Key takeaways
- Endear is our top pick for coordinated, AI-assisted outreach with central controls across many stores and brands.
- Tulip fits shared team engagement, and NewStore suits buyers pairing clienteling with mobile checkout.
- BSPK merits a look for multi-market engagement, while Cegid Retail and Teamwork Commerce fit broader store-system evaluations.
How we picked these platforms
We reviewed official product pages, documentation, pricing, and release notes in October 2026. We did not run hands-on trials, so our ranking reflects documented capabilities rather than measured usability.
Our criteria were customer-context continuity, daily associate workflows, brand and team oversight, connected POS and ecommerce data, multi-store operation, reporting by store and associate, and pricing clarity.
| Platform | Best fit | Scope | Pricing visibility |
|---|---|---|---|
| Endear | AI-ranked outreach with central oversight | Engagement layer | From $350/store/month; custom enterprise plans |
| Tulip | Shared team engagement | Engagement layer | Proposal required |
| NewStore | Clienteling plus mobile checkout | Commerce platform | Proposal required |
| BSPK | Multi-market engagement | Engagement layer | Custom; AI-credit model |
| Cegid Retail | Clienteling within store operations | Broader suite | By modules, stores, and users |
| Teamwork Commerce | Customer capture and shared records | Commerce platform | Proposal required |
1. Endear
Endear is an AI-powered clienteling platform and enterprise retail CRM built for omnichannel retailers with physical stores. For chains that need enterprise clienteling software with central control, it connects POS and ecommerce data, ranks who each associate should contact every day, and drafts the message, with a person approving every send. Customers include Reformation, GANNI, UNTUCKit, Rebag, and Missoni.
Key features
- AI Opportunity Engine that builds a daily ranked outreach queue from signals such as post-purchase follow-ups, abandoned carts, and new product drops
- Multi-brand management from one account, with brand-level data, teams, and reporting plus central visibility
- SOC 2 Type II, SSO with 28+ identity providers, role-based permissions, and customer data never used to train shared models
- Store, associate, and channel attribution, plus 30 pre-built integrations including Shopify Plus, NewStore, Cegid, and Salesforce Commerce Cloud
Pros: Proven fleet rollout, with one women's apparel brand scaling from a 10-store pilot to all 113 stores in two months.
Cons: AI drafting covers email and SMS today, and enterprise controls are priced by custom proposal.
Pricing: From $350 per store per month with a 14-day trial, free implementation, and month-to-month terms; custom enterprise plans are available.
Best for: Multi-store and multi-brand retailers that want AI that ranks and drafts, with people who approve.
2. Tulip
Tulip focuses on team-based engagement, so conversations don't stall when the original associate is off shift. Tulip and Salesfloor merged under the Tulip brand in March 2026, and the companies reported supporting about 100 enterprise retail clients combined.
Key features
- Customer profiles with preferences, purchases, wishlists, and an interaction timeline
- Shared Inbox for team-managed conversations and handovers
- Unified Inbox combining email, SMS, and WhatsApp with customer context
- Integration Builder for APIs, files, and cloud data, plus a Shopify Connector supporting multiple regions
Pros: Retailers choose which activities are automated, reviewed, or associate-led.
Cons: Integration starts with five data feeds (stores, employees, customers, products, and orders), which takes planning.
Pricing: Request a proposal; no public price was available.
Best for: Retailers prioritizing shared conversations and associate handovers.
3. NewStore
NewStore connects customer conversations with carts and payment inside its mobile commerce platform. It's a broader platform decision, so it fits best when clienteling and mobile checkout are evaluated together.
Key features
- Customer purchase history and inventory visibility in the mobile associate app
- SMS and WhatsApp messaging in supported markets
- Remote carts and pay-by-link for selling beyond the store
- Shared store inbox and consent tools within the workflow
Pros: Associates can move from a conversation to a completed sale in one place.
Cons: Messaging channels require country-specific setup, and WhatsApp support varies by market, so confirm availability for each region.
Pricing: Request a proposal; no public price was available.
Best for: Retailers replacing or modernizing store commerce alongside clienteling.
4. BSPK
BSPK suits multi-market brands that want an engagement layer rather than a commerce replacement. Its documentation covers multi-brand operations, localized workflows, and identity controls.
Key features
- Multi-brand and multi-store operations with central oversight
- Localized channels with multilingual and multicurrency workflows
- Engage Agent that prepares brand-voiced outreach for advisor review
- SSO, provisioning, audit logs, and role-based permissions
Pros: Strong fit for brands operating across several countries and languages.
Cons: AI-credit pricing needs a realistic activity estimate, and WhatsApp and WeChat require the Growth tier or above.
Pricing: Boutique, Growth, and Enterprise tiers with custom pricing on an AI-credit model.
Best for: International brands managing outreach across multiple markets.
5. Cegid Retail
Cegid Retail brings clienteling into a broader retail suite covering checkout, stock, and store operations. It makes most sense when customer engagement is part of a wider store-system decision.
Key features
- CRM and clienteling built on customer history and preferences
- Fixed and mobile workflows spanning checkout and store operations
- Product recommendations, loyalty, and promotions alongside clienteling
- Real-time APIs connecting store apps and third-party services
Pros: One vendor for engagement, checkout, and store operations.
Cons: The suite may exceed the scope of an outreach-only project, and AI feature availability should be confirmed by market.
Pricing: Subscriptions based on modules, stores, and users; request a proposal.
Best for: Retailers evaluating clienteling together with POS and operations.
6. Teamwork Commerce
Teamwork Commerce stands out for customer identification and shared records across stores and channels. It links customer data capture directly to the in-store interaction.
Key features
- Shared customer records across stores and channels
- QR and self-service registration with market-specific setup
- Email and SMS consent capture plus open customer-data APIs
- Luxury-oriented profiles with sizes, preferences, purchases, wishlists, and notes
Pros: Detailed profiles give advisors useful context during a visit.
Cons: Outbound outreach workflows and revenue reporting need a specific demonstration.
Pricing: Request a proposal; no public price was available.
Best for: Retailers focused on customer capture within a wider POS evaluation.
How to choose the right platform
Decide the scope first. If your POS and ecommerce stack is staying, an engagement layer avoids a rip-and-replace project. If you're already replacing store systems, a broader commerce platform may make more sense.
Test the same scenario with every vendor. Ask each one to demonstrate a customer handover between associates, an AI-drafted message going through approval, an opt-out, and store-level reporting using your own sample data.
Check how AI fits your workflow. Look for tools that rank opportunities and draft messages but keep associates in control of every send. The same principle shows up in broader AI sales strategies: automation works best when it supports people rather than replacing their judgment.
Confirm security and compliance. Have procurement verify permissions, consent handling, data residency, and contractual coverage for every market in scope. Treat vendor security statements as claims to verify, not guarantees.
Agree on attribution with finance. Store-level revenue reporting only helps if regional leaders and finance trust the same numbers, so review each vendor's attribution definitions early.
Conclusion
Endear is our top pick for enterprise retailers that want consistent, AI-assisted outreach across every store without losing the associate's personal touch. Its combination of ranked daily queues, human-approved drafts, multi-brand controls, and store-level attribution matches the problem large retail teams face.
Tulip is a strong choice for shared team engagement, NewStore fits a combined clienteling and mobile-commerce evaluation, and BSPK suits multi-market brands. Cegid Retail and Teamwork Commerce belong on shortlists that already include a broader store-system decision.
FAQ
What is clienteling software? Clienteling software gives store associates a single view of each customer, including purchases, preferences, and notes, so they can follow up personally by text, email, or messaging apps.
What counts as an enterprise retailer for clienteling? Generally a retailer with 40 or more stores, several regions, or a multi-brand portfolio, where customer context and outreach have to be coordinated across the fleet.
How does AI help with clienteling? AI can rank which customers to contact each day and draft messages in the brand's voice. The strongest tools keep an associate in control, reviewing and approving every message before it's sent.
Do I need to replace my POS to add clienteling? Not always. Engagement-layer platforms connect to your existing POS and ecommerce systems, while broader commerce platforms combine clienteling with checkout and store operations.
How is clienteling software priced? Pricing is usually per store per month or by custom proposal. Some vendors also price by modules, users, or AI usage, so compare quotes using the same store count and scope.
