Clinical Supply Intelligence for hospitals.

Live stock visibility. Low-stock alerts. Expiry tracking. Automated reorder follow-up. An AI layer that watches the clinical supply the hospital holds, starting with the pharmacy, sitting on top of the systems and the people you already have.

Live
Stock position · every SKU, every store
24/7
Monitoring and alerts, including overnight
Zero
New systems to buy · works alongside your IT
The problem

Where hospital pharmacy inventory breaks down.

Stockouts

A critical medicine runs out mid-shift. The gap is discovered at the counter rather than before it, and the emergency purchase happens at whatever price the nearest distributor quotes.

Expiry losses

Stock is issued in whatever order it sits on the shelf. Short-dated batches quietly cross their expiry date, and the write-off surfaces at the next audit.

Manual reordering

Reorder points live in the chief pharmacist's memory. Purchase requests wait for someone to notice, then wait again through follow-up calls with suppliers.

No live stock visibility

Registers, spreadsheets and the hospital's own system disagree with the shelf. Nobody can say what the pharmacy holds right now without a physical count.

What we deploy

An AI layer that watches, warns and acts.

The system sits on top of your existing pharmacy operation. It does not replace your IT systems or your people. It does the one thing neither of them can do: pay attention to every SKU, every batch and every reorder cycle, all of the time.

01
Live stock visibility

One live stock position across every pharmacy store and stock point. Batch, quantity and expiry per SKU, reconciled with issues and receipts as they happen rather than at month end.

02
Alerts before the event

Reorder points computed per SKU from actual consumption, not from gut feel. Low-stock and near-expiry alerts reach the right person on WhatsApp before the gap reaches the counter.

03
Automated action

Purchase requests drafted automatically, supplier follow-ups sent and chased, and a weekly report of stock health, expiry risk and consumption trends to pharmacy leadership.

Inside the system

Seven modules, one screen the pharmacy actually uses.

Today's priority actions

The AI reads the full stock position and writes the day's to-do list: expedite, reorder with exact quantities and day-cover, expiry pulls. Staff tick tasks off as they go.

Medicine risk table

Every medicine ranked by an action priority score built from current stock, days of cover and clinical criticality, so vital drugs never hide in an alphabetical list.

Purchase recommendations

Suggested orders grouped by supplier with values quantified, so procurement negotiates from one consolidated view instead of loose chits and recollection.

Expiry risk and leakage

Near-expiry batches surfaced while there is still time to use or return them, and prescription leakage tracked: what was prescribed but never sold in-house.

ABC-XYZ classification

Stock classified by value and demand variability, with fast, slow and non-moving flags, so working capital sits in the medicines that actually matter.

Simulator and AI copilot

A scenario simulator to test demand shocks before they happen, and a copilot that answers plain-language questions about the inventory.

The first deployment

Pharmacy intelligence for a hospital group.

Pediatric and maternity care · pharmacy division · India
  • A complete inventory management system built for the pharmacy division, around the workflow the team already ran
  • Every morning the AI turns the stock position into a ranked action list: expedite this supplier, order this quantity for this day-cover, pull this batch before expiry
  • Every medicine tracked by days of cover and clinical criticality, so a vital drug at three days of stock is flagged before the counter feels it
  • Reorder recommendations grouped by supplier with values quantified, ready for procurement to act on
  • Live stock tracking replaced manual registers as the single source of truth, exportable at any time
The shift

The pharmacy team stopped discovering problems after the fact. The system recommends; the pharmacy team decides. This is the first deployment of the Clinical Supply Intelligence platform we now plan to bring to hospitals across India.

7
Modules in one system
Overview to simulation
Daily
AI action list
Ranked by urgency
One
Source of truth
Replacing manual registers
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How it works

From shelf to reorder, one connected flow.

Monitor

Stock, consumption and expiry tracked live per SKU and batch, across every store and stock point.

Alert

Low-stock and near-expiry warnings sent to the right person on WhatsApp, with the numbers attached.

Act

Purchase request drafted, approval routed, supplier follow-up sent and chased until stock arrives.

Report

Weekly stock health summary to leadership: what moved, what is at risk, what was caught in time.

Why this is different

Your IT system has an inventory module. This is different.

A module you have to check
  • Numbers update only when someone enters them
  • Reorder levels set once, then never revisited
  • Expiry risk visible only if someone runs the report
  • Blind to the other stores and stock points
  • Tells you what happened, after it happened
An AI agent that checks for you
  • Watches consumption and recalculates reorder points per SKU
  • Sends the alert to the person who can act, on WhatsApp
  • Flags short-dated batches while there is still time to use or return them
  • Holds one picture across every store and stock point
  • Chases the follow-up until the stock is actually on the shelf
Engagement model

Discover. Build. Run.

01
Week 1
Discover

An end-to-end walkthrough: intake, issue, registers, reorder, supplier cycle. Every point where stock, money or hours leak gets mapped and sized against your own records.

You get: a leak map and a build order.
02
Weeks 2 to 4
Build

The system is built around your existing workflow. Pharmacists validate every threshold before a single alert fires, and your team is trained before go-live.

You get: a live system and a trained team.
03
Ongoing
Run

We host, monitor and tune. Thresholds sharpen as consumption data accumulates. Leadership gets the numbers weekly: stock health, expiry risk and what was caught in time.

You get: weekly numbers and steady tuning.
Build on the existing flow Human in the loop Speed to live You own your data and accounts Systems over heroics
Common questions

What hospital leadership asks first.

What does this cost?

Every engagement is priced from the discovery, not from a menu, so we do not publish a rate card. The shape is always the same: a one-time pharmacy process discovery, then a build scoped to your stores and systems, then a monthly retainer covering hosting, monitoring and tuning.

The discovery produces a leak map sized from your own records, a build plan, and a pilot scope, so every number can be checked against what the gaps are actually costing you. Exact figures come on the walkthrough, before anything is signed. If the case is not there, we say so.

Do we have to replace our existing hospital system?

No. The system sits on top of what you already run. Where a hospital information system or pharmacy software exists, we integrate with it. Where the pharmacy runs on registers and spreadsheets, we work from those. There is no rip-and-replace and no new screen for counter staff to learn.

Does the AI place orders on its own?

No. The system drafts the purchase request, quantifies it, and routes it for approval. Your pharmacists keep the final say on every order. Thresholds are validated by your team before a single alert fires, and they can be changed at any time.

Where does our data live, and who owns it?

You own the data and the accounts. We host and operate the system for you under a management retainer. Data handling, access controls and retention are scoped and documented during discovery, before anything goes live.

How do you handle a pharmacy team that is already stretched?

By adding zero work. The system watches, computes and drafts. What reaches a person is a WhatsApp alert with the SKU, the quantity, the supplier and one tap to approve. The daily action list is ranked, so the team works the top of it rather than reading a report.

Can we start with one store before committing?

That is the recommended path. One pilot store proves it, with results before any wider rollout. The playbook then travels ward by ward and site by site.