Retailers need smarter, faster, and more natural in-store engagement. An offline AI concierge delivers human-like conversation, real-time product knowledge, and instant responses—reducing latency, cutting costs, and protecting customer privacy.
Challenge
Cloud-based AI assistants struggle to keep pace with modern retail demands:
- Latency from Cloud AI
Roundtrip queries to cloud servers slow down complex interactions, frustrating customers.
- High LLM API Costs
Running cloud AI at scale across multiple locations results in substantial recurring expenses.
- Customer Privacy Concerns
Transmitting customer voice data off-site can reduce trust and raise compliance risks.
Solution: Local Generative AI with SLM + Local RAG
Lanner supports an offline AI concierge using Small Language Models (SLMs) combined with Local RAG for accurate, context-aware responses:
- SLM: Provides natural, human-like conversation and instant responses—fully offline.
- Local RAG: Maintains up-to-date store information, including inventory, product details, and promotions.
Lanner Solution: Edge AI Computer Powered by Intel® Core Ultra Series 2
The EAI-I510 is engineered to run on-device Generative AI efficiently and silently on the retail floor. Powered by Intel Core Ultra Series 2 processor, it allocates workloads across CPU, GPU, and NPU to maximize responsiveness and power efficiency.
- CPU: Handles conversational logic and RAG retrieval
- NPU: Enables low-power, always-on voice listening and wake-word detection
- GPU: Accelerates SLM inferencing for fast, human-like responses
Benefits
- Instant, latency-free interactions
- Zero cloud API costs
- Enhanced privacy and compliance
- Higher engagement, upsell, and conversion rates