Dhruv AI is the Fast Suite's own AI and BI module, wired into Fast Inventory. It puts a live inventory role dashboard on your stock, movement and lot data, writes insight summaries on non-moving stock, reorder exposure, expiry risk and valuation, answers plain-English questions straight from stock history through a read-only security sandbox — and clusters thousands of movement and adjustment remarks into the handful of reasons that actually keep recurring, ranked by item and store.
Dashboards answer the questions you thought of when they were built. Dhruv AI covers both halves: a live inventory role dashboard for the questions you ask every day, and a plain-English chat for the ones you've never asked before.
Dhruv AI never touches your raw stock records. Questions are answered through pre-defined analytical views, and every AI-drafted query is validated before it runs.
Everything runs on the stock, movement and lot data you already capture in Fast Inventory Software — no exports, no separate data warehouse project.
The store already runs on receipts, issues, transfers and counts. Dhruv AI puts the management layer on top: an inventory head sees on-hand and non-moving stock; a purchase manager sees reorder exposure by item and store; a finance owner sees valuation — all reading the same live data as the stock reports.
Reading a dozen stock charts before a review is work someone always skips. One click asks Dhruv AI to summarise the dashboard in front of you into short written insights — which items are non-moving and how much cash they tie up, where reorder exposure is building, which lots are near expiry and where valuation is drifting.
Letting an AI near your stock database is a fair worry — so Dhruv AI is built to make writes impossible, not just unlikely. Your question becomes a query against pre-defined analytical views. Before it runs, the sandbox checks it: read-only statements only, whitelisted views only, no write or admin keywords, no stacked statements, comment tricks stripped. Fail any check and the query never executes.
Movement and adjustment remarks are free text — every storekeeper words the same reason differently, so spreadsheets never add them up. Dhruv AI clusters similar remarks together and generates a readable label for each group. And because the view carries the item and store, each theme tells you not just what keeps happening, but where — which item and which store — so the reconciliation discussion starts from the real Pareto, not a hunch.
On-hand, movement, non-moving stock, reorder exposure, near-expiry and valuation — over live stock and movement data.
One-click written analysis of the dashboard you're viewing — non-moving stock, reorder exposure, expiry risk and valuation — regenerated whenever the data changes.
Questions about stock history answered as data plus a written summary — no report writer, no SQL, no waiting on IT.
Free-text movement and adjustment remarks clustered into recurring reasons with AI-generated labels, ranked by item and store — the Pareto of why stock is adjusted.
Remark themes carry the item, the store and whether the adjustment was an increase or decrease — so analytics reflect the outcome, not just the symptom.
A security sandbox validates every AI-drafted query — SELECT-only, whitelisted analytical views, blocked write keywords, encrypted connection credentials.
Bring a real question from your last stock review. In a 30-minute demo we'll connect Dhruv AI to sample stock data and answer it in front of you.
