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Comparison

Lokam vs Numa: Which Dealership AI Is Right for You?

Lokam specializes in outbound CSI follow-up and unsold lead recovery. Numa covers inbound call handling, texts, emails, and webchat. They solve different problems - here's how to choose.

Quick Answer

Lokam vs Numa - the short version

Lokam is purpose-built for outbound follow-up: it calls every service customer and every unsold showroom visitor, detects dissatisfied customers in real time, and escalates to managers before bad reviews happen. Numa is a broader communication platform that also handles inbound calls, appointments, and multi-channel messaging. If CSI scores and unsold lead recovery are your priority, Lokam is the more focused tool. If you want to unify all dealership communication in one place, Numa is built for that.

Feature Comparison

Feature
Lokam
Numa
Primary focus
Outbound post-visit follow-up
Unified dealership communication
CSI follow-up calls
Purpose-built - every RO within 24h
Included, not primary focus
Unsold lead recovery
100% desklog coverage, 24h window
Available via outreach campaigns
Inbound call handling
Not included
Core feature
Contact rate (outbound)
70% average
Not publicly stated
Detractor escalation
Real-time - name, concern, full transcript
Available via CSI workflows
Google review generation
Automatic SMS after positive call
Available via review management
DMS integration
CDK, Dealertrack, VinSolutions, Authenticom
CDK, Reynolds, major DMS platforms
Setup time
Fast to set up
Varies by feature scope
Multilingual
English + Spanish
Yes
Dealerships using it
Growing
1,200+

Numa data sourced from public product pages and press releases. Lokam data from live deployments.

When to choose each

Choose Lokam if:

  • Your CSI scores need improvement
  • Unsold showroom customers aren't hearing from you
  • Your service team misses detractors before the OEM survey
  • Your BDC can't keep up with desklog volume
  • You want to improve your Google rating
  • You need DMS-native automation with no manual work

Choose Numa if:

  • You need inbound call answering and routing
  • You want unified SMS, email, phone, and chat
  • Appointment booking automation is a priority
  • You want a single platform for all customer communication
  • You have 100+ rooftops and need enterprise scale

Common questions

What is the main difference between Lokam and Numa?

Lokam is an outbound-first AI voice specialist focused on post-visit follow-up: CSI calls after every repair order and unsold lead recovery after every showroom visit. Numa is a broader dealership communication platform covering inbound call handling, texts, emails, webchat, and appointment booking. Dealers who need to improve CSI scores and recover unsold leads typically find Lokam more focused; dealers who want to unify all communication channels in one platform tend to use Numa.

Which is better for CSI follow-up - Lokam or Numa?

Lokam is purpose-built for CSI follow-up. It reads repair orders directly from your DMS, calls every service customer within 24 hours, detects dissatisfied customers in real time, escalates to service managers with full transcripts, and generates Google review requests from promoters. Numa includes CSI follow-up as part of a broader platform, but it is not the primary focus of the product.

Does Lokam handle inbound calls like Numa?

No. Lokam is an outbound-only platform, focused on proactive follow-up after service visits and showroom interactions. Numa handles inbound call answering, routing, and scheduling. If your primary need is answering every inbound call, Numa is the better fit. If your priority is making sure every customer who visits or gets serviced hears from you, Lokam is the better fit.

Can I use both Lokam and Numa?

Yes. Some dealerships use Numa for inbound call management and Lokam for outbound follow-up. The two platforms do not overlap - Numa handles the calls coming in, Lokam handles the calls going out.

See Lokam working on your dealership data

30-minute demo - we'll show CSI and desklog impact at your volume before you commit to anything.