Splio launches AI-first CRM powered by Tinyclues AI and introduces "Ask My CRM"
Splio just rolled out an AI-first CRM with Tinyclues AI baked into the core, plus an AI agent called "Ask My CRM." For marketers, that means predictive audience building, smarter timing, and faster answers without living in spreadsheets.
The platform focuses on anticipating intent and orchestrating messages across email, SMS, RCS, and WhatsApp-meeting customers where they actually respond. It's built for retail and omnichannel teams that need personalization at scale without the manual grind.
Quick take
- AI-first CRM centered on Tinyclues predictive tech
- "Ask My CRM" agent surfaces insights, diagnoses drops, and drafts reports
- Omnichannel: email, SMS, RCS, and WhatsApp
- Built for retail and complex journeys; 30% of Splio revenue now AI-powered
What's new in Splio's AI-first CRM and "Ask My CRM"?
Tinyclues AI-acquired by Splio in 2023-now drives the platform's predictive engine. What started as product catalog-driven audience building now shifts to individual intent, so journeys aren't just targeted-they're timely and context-aware.
"Ask My CRM" works as a marketing copilot connected directly to your customer data. It flags performance drops, spots fresh campaign opportunities, and generates ready-to-use deliverables like reports and action plans.
Net effect: teams move from manual, rule-based workflows to anticipatory, data-driven engagement that scales across channels without scaling headcount.
How Splio's AI-first approach supports marketers
- Predictive personalization: Anticipates behaviors and adjusts messaging and timing to keep relevance high as touchpoints multiply.
- Automated insights: "Ask My CRM" surfaces recommendations, diagnoses why metrics dip, and drafts summaries and reports-cutting analysis time.
- Omnichannel orchestration: One place to run email, SMS, RCS, and WhatsApp with AI fine-tuning send time, cadence, and creative variants.
- Retail focus: Built for omnichannel brands where journeys zigzag across stores, apps, and web-and personalization actually moves revenue.
About 30% of Splio's revenue now comes from its AI features. Notable customers include Air France, Fnac Darty, SNCF Connect, Samsung, and ETAM.
Competitive context and market trends
The space is crowded: Salesforce, HubSpot, Iterable, and Blueshift all push predictive analytics and cross-channel automation. Splio's angle is deep predictive modeling via Tinyclues and a practical copilot that shortens the path from raw data to action.
As AI agents take on more marketing work, anticipating needs and serving context-aware messages is becoming table stakes. Splio's move fits that shift by prioritizing intent prediction and workflow automation over static rules.
What this means for marketers
- Reduce manual workload by automating analysis and ongoing optimization
- Send more relevant, timely communications across multiple channels
- Get clearer visibility into behaviors, segments, and performance drivers
- Stay competitive as personalization and automation become standard practice
Practical next steps
- Audit data readiness: identity resolution, consent, and event coverage (browse, purchase, churn risks).
- Start with 2-3 predictive use cases: next-best offer, replenishment, and lapse prevention.
- Pilot "Ask My CRM" for weekly reporting and anomaly detection to cut meeting prep time.
- Set guardrails: brand voice, frequency caps, and channel priorities by segment.
- Measure uplift the right way: holdouts, incremental revenue, repeat rate, opt-outs, and send cost per incremental order.
FAQs marketers will ask
- How is this different from rules-based journeys? Predictive models update continuously from behavior and intent, so segments and timing adapt without hand-built rules for every edge case.
- Will it replace my ESP or CDP? Think complement, not replacement. It adds intelligence and orchestration across channels; integration depth decides overlap.
- What skills do we need? Strong data hygiene, clear experimentation habits, and someone accountable for AI outcomes and brand safeguards.
The takeaway
If your team spends more time building segments and decks than driving revenue, this approach is worth testing. Put predictive journeys on a few high-volume programs, let the copilot handle reporting, and reinvest the saved time into creative and offers that actually move the needle.
Level up your team's AI marketing skills: explore the AI Certification for Marketing Specialists to tighten your testing, measurement, and AI governance.
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