Retail · AI Agent Enablement
AI analytics agent for a national retailer
A national retailer had piloted an enterprise AI analytics agent for plain-language queries against their data warehouse. But as scope grew, so did the context the agent had to reason over: accuracy slipped, hallucinations crept in, and costs climbed. We migrated their context layer onto Dataplane's ontology and offloaded logic into a custom harness for better observability, reliability, and cost. Accuracy and speed improved dramatically while cost fell — and faster, more trustworthy answers won back engagement.
Read the full case study| Metric | Injection | RAG | Ontology |
|---|---|---|---|
| Accuracy | 27% | 80% | 99% |
| Latency | 32.3s | 25.3s | 22.5s |
| Tokens in | 5.2k | 7.4k | 4.4k |
| Tokens out | 1,530 | 1,008 | 868 |
| DB calls | 11.1 | 1.6 | 1.5 |