Blog

AI agents, RAG, and integrations — notes from production.

What Does It Cost to Deploy Shelf-Monitoring Computer Vision Per Store?

Computer vision cost per store: a one-time build, a per-store rollout for hardware and install, and ongoing retraining, fleet management, and review staffing.

How to Measure ROI on Computer Vision for Shelf Availability

Computer vision retail ROI: recovered sales from faster gap closure, audit hours saved, and a store holdout to measure it net of substitution.

Common Mistakes When Rolling Out Store Computer Vision Across a Chain

Retail computer vision rollout mistakes: designing for connectivity stores lack, a single confidence threshold, stale training data, and a flagship-only pilot.

How a Shelf-Monitoring Computer Vision Pipeline Is Architected

Shelf-monitoring computer vision architecture: on-device detection, a portable runtime, pub-sub transport, and confidence-based routing to a review queue.

Edge vs Cloud Inference for In-Store Computer Vision

Edge vs cloud computer vision for retail: store links can't upload shelf photos fast enough, so detection runs on-device and only the result leaves the store.

Giving Merchandising Control of Search Relevance Without Engineering Tickets

Merchandising control of search relevance: boost, bury, pin and filter rules stored as data the team edits directly, with owners, expiries, and an audit log.

Postgres + pgvector vs a Dedicated Vector Database for Product Search

pgvector vs a dedicated vector database: at catalog scale, keeping embeddings in Postgres wins on consistency and ops; the crossover is millions of vectors.

Hybrid Search: Combining Keyword and Semantic Retrieval in One Ranking

Hybrid search runs keyword and semantic retrieval together and fuses the results with reciprocal rank fusion, so exact SKUs and descriptive queries both work.

A Checklist for Choosing a Site Search Vendor for a Large Catalog

A site search vendor checklist: relevance tested on your own catalog, index freshness against a fast feed, merchandising control, and pricing at scale.

Build vs Buy: Managed Search Platforms vs a Custom Semantic Search Stack

Build vs buy for semantic search: a managed platform, a full in-house build, or a custom stack on a managed embedding API and a vector extension.