Chooch AI review

Chooch AI is camera-based inventory software for hospitals. It uses computer vision to track supplies in storage rooms and other locations, updating on-hand counts without requiring staff to count items manually or scan barcodes or RFID tags, according to the product description.

The system is designed to do more than record stock. It uses consumption patterns to forecast demand, flag possible shortages, and identify slow-moving or expiring supplies. Hospitals can set inventory thresholds and connect the system to an ERP so it can trigger replenishment when stock runs low. Chooch AI also uses consumption data to inform PAR and safety-stock levels, while dashboards show inventory status, usage trends, and replenishment history across rooms.

The pitch is less time spent on manual inventory work and earlier warnings about stock risk. The published materials do not explain the camera setup or how the system handles exceptions, so those details need to be confirmed for a specific deployment.

Chooch AI’s clearest strength is the workflow it targets: keeping hospital supplies visible without asking staff to make routine manual counts or scan each item. If camera tracking works with a facility’s storage layout, it could give teams a live view of stock across multiple rooms rather than a count that is out of date by the next shift.

The feature set also connects inventory visibility to action. Demand forecasting and shortage alerts are intended to help teams spot supply risks earlier; waste alerts flag slow-moving stock, expiration risks, and excess inventory. PAR optimization uses consumption data to adjust target and safety-stock levels, rather than relying only on static counts. And ERP integration can trigger purchase orders when defined thresholds are reached.

That combination is more useful than a dashboard that simply reports what is on a shelf. Chooch AI describes a loop from tracking, to forecasting, to replenishment, with inventory history available across rooms. For hospital buyers comparing options, the specific appeal is that the product is framed around supply-room operations and automated replenishment—not just generic object recognition. The published materials do not quantify time saved or forecast accuracy, so those benefits remain claims to validate with a demo.

The main buying problem is price transparency. The published pricing information lists a free account or app at $0 per month, but says usage limits are not published. Enterprise pricing is custom; neither monthly nor annual rates are listed. A custom demo is available on request, but no free-trial terms are provided. That leaves buyers unable to compare the likely cost of a hospital deployment from the published information alone.

The limits are also unclear. The published materials do not state how many cameras, rooms, users, or tracked items an account can cover, or how often inventory updates. They describe ERP integration, but do not name supported systems or explain what configuration is required. Those are practical details that affect rollout scope and cost, not small print.

We’d treat the free option as a way to explore the app, not evidence that a hospital-scale deployment is free: its caps are unpublished. Before comparing it with another inventory system, ask Chooch for a quote and written limits for the proposed deployment, plus the relevant ERP and camera requirements.

Chooch AI lists a free account, but the pricing page does not publish an Enterprise rate. The Free Account / Free App costs $0 per month; its usage limits are not published. Enterprise pricing is custom, with a quote required and a demo available on request. The size of the jump from free to paid is therefore unknown—not a published step-up we can calculate.

The pricing page does not list annual rates, a free-trial period, or add-ons. It also does not disclose Enterprise usage caps, so ask what the quote covers: deployment scope, locations, camera coverage, ERP integration, and ongoing support. Those details could affect the total, but the published pricing information does not specify them. For a hospital comparing vendors, treat the free account as a way to try the app, not proof that a full inventory deployment will be free. Pricing was checked November 6, 2026, and carries low confidence.

Switching to Chooch means evaluating camera-based tracking alongside your existing supply-room process and ERP replenishment flow. Before committing, map the locations to track, current PAR and safety-stock rules, and the thresholds that could trigger purchase orders. Chooch’s published feature description covers live inventory, forecasting, waste alerts, and ERP-linked replenishment, but it does not explain implementation steps or how existing inventory history is migrated.

The published material also does not say whether you can export inventory records, forecasts, or replenishment history, or what happens to data after cancellation. Ask for export formats and contract terms before moving operational records into the system. We can’t cite Reddit reports about why customers leave: no Reddit posts or comments were included in the published material for this review. If export rights, usage caps, or ERP scope are not clear in the quote, treat them as unresolved switching risks—not as included features.