shelfpix.com

What It Is

shelfpix is an AI-Powered Shelf Intelligence tool positioned as a shelf auditing system for retail operations, merchandising, and store management teams. Its core workflow is simple: take a photo of a shelf, endcap, or promotional aisle, and the system automatically identifies the products in the image, then reports inventory status and a shelf attractiveness score from the shopper’s perspective.

Core Features and Data

The product emphasizes that there is no need to photograph, scan, or manually label items one by one. A single photo can be used to identify brands, sizes, packaging, and visible price tags, and to output item-level inventory status, including out of stock, low stock, normal stock, and overstock. The overall shelf receives a 1–10 attractiveness score, with explanations covering lighting, tidiness, label visibility, and display condition. Historical records can be organized into collections by store, aisle, date, or promotion, with support for search, tags, sorting, and week-over-week trend comparisons. Its terms state that the current AI uses Anthropic Claude via AWS Bedrock, but do not disclose training data scale, recognition accuracy, or customer case studies.

Pricing and Support

The Pilot plan is $0/month, suitable for single-store trials or proof-of-concept use by small teams of 1–3 people. It includes shelf photo capture, attractiveness scoring, inventory status detection, and priority support. Both Team and Enterprise are listed as Coming Soon. Team is planned to include shared usage for around 20 seats, trend dashboards, and out-of-stock/overstock alerts, while Enterprise is planned to include unlimited captures, API access, custom integrations, and dedicated onboarding. Support channels are mainly the in-app entry point and contact form, with sales, demo, and pilot inquiries promised a response within 1–2 business days. The terms state that paid subscriptions are prepaid through Stripe and renew automatically.

Pros, Cons, and Best Fit

The main advantages are its low barrier to use and the ability to turn a simple photo into a structured shelf record. It is well suited to store visits, post-campaign merchandising reviews, out-of-stock detection, and cross-store trend monitoring. The explanatory scoring also makes it easier for operations teams to communicate issues. The limitations are that scaled plans have not yet launched, the API and integrations are still only planned, and the public terms template contains placeholders for items such as the legal entity and support email. The official materials also note that AI outputs are only operational signals and may be inaccurate, so they should not be used on their own for replenishment, pricing, supplier evaluation, or employee performance decisions.

Access from China

The site does not provide information on access from mainland China, a Chinese-language interface, RMB pricing, or local payment methods; payments only mention Stripe. Chinese retail teams considering it should first verify network connectivity, data compliance, cross-border image processing, and enterprise payment feasibility. As for alternatives, the public materials do not provide directly comparable products.