Early access for pharmacies in Nigeria
Medvigil tracks every medicine batch to its expiry date, forecasts demand at each branch and compares supplier prices. Each morning your team gets a short list of actions, ranked by the naira value at stake.
Harbor Cross Pharmacy · 4 branches
Stock value at risk of expiry
₦1,504,050
Projected unsold units × unit cost, next 180 days
Today's actions
5 open01
Every receipt is recorded by batch number and expiry date, per branch, so near-expiry stock is visible before it reaches the shelf edge.
02
Weekly forecasts for each product at each location, using sales history, seasonality and recent trends.
03
Prices pulled from supplier invoices are compared line by line, so every reorder shows the best recent quote.
04
Transfers, returns, reorders and dispensing priorities, each with the reasoning and the naira value at stake.
The problem
Expired medicines, emergency orders and overpaying a distributor rarely show up as one big loss. They show up as small, steady leaks across branches and invoices, and they are hard to see until the month closes.
A typical case: a branch receives 300 packs of an antimalarial in the dry season. Demand there stays low, while another branch nearby runs short and places an urgent order at a higher price. Three months later the first batch is close to expiry, and it is too late to return it.
Most pharmacies check expiry dates during periodic shelf audits. By the time a short-dated batch is spotted, the supplier return window has usually closed and the stock becomes a write-off.
Reorders are often based on what ran out last week. Fast movers stock out during malaria season while slow movers pile up at another branch.
Distributor prices shift often, and comparing quotes across paper and PDF invoices takes hours that pharmacy staff do not have.
A spreadsheet can track one store. Across four or ten branches, nobody can see that the batch expiring in Lekki is exactly what Ikeja needs.
The Medvigil approach
Core features
Each feature does one job and passes its output to the next, from invoice receipt to an approved action on the shelf.
01 / 06
A live register of every batch on hand, by branch, with days to expiry and projected unsold units.
Benefit
Teams see which packs will not sell in time while there is still a window to act.
In the workflow
Feeds Expiry Risk Forecasting and the action queue.
02 / 06
Combines each batch's expiry date with its forecast sell-through to estimate how many units will be left when it expires, and what they are worth.
Benefit
Owners get one number for stock value at risk, broken down by month, branch and category.
In the workflow
Prioritises transfers, supplier returns and first-expiry-first-out dispensing.
03 / 06
Forecasts weekly demand per product and branch, then sets reorder points and order quantities from supplier lead times.
Benefit
Fewer stock-outs on fast movers and less cash tied up in slow ones.
In the workflow
Generates reorder recommendations for review.
04 / 06
Upload supplier invoices as PDFs or photos. Product names, batch numbers, expiry dates, quantities and prices are extracted, and low-confidence fields are flagged for a person to confirm.
Benefit
Receiving stock takes minutes instead of manual data entry, and batch data stays accurate.
In the workflow
Populates the ledger and the supplier price history.
05 / 06
Builds a price history for each product from captured invoices and highlights the lowest recent quote alongside each supplier's lead time and fill rate.
Benefit
Purchasing decisions weigh price and reliability together, without a separate spreadsheet.
In the workflow
Attached to every reorder recommendation.
06 / 06
A ranked list of recommended actions with a plain-language explanation for each. Managers approve, assign or dismiss, and a daily digest goes out by email or SMS.
Benefit
Insight turns into a task with an owner, and every decision is logged.
In the workflow
Closes the loop: approved actions update stock records and the audit trail.
How it works
Medvigil starts with data pharmacies already have: a stock export and the supplier invoices that arrive with every delivery.
Import a product and stock export from your pharmacy or POS system as CSV, and upload supplier invoices as they arrive.
CSV import · PDF and photo invoices
Product names are matched to a single catalogue, batch numbers and expiry dates are checked, and anything uncertain goes to a review list.
Catalogue matching · confidence flags
Demand forecasts run for every product at every branch. Each batch gets a projected unsold quantity and a value at risk.
Per-branch forecasts · value at risk
The system proposes transfers, supplier returns, reorders and dispensing priorities, and explains each one in plain language.
Ranked by naira impact
Branch managers approve or dismiss recommendations. Approved actions are logged, and alerts go to the right person.
Approvals · audit trail · digests
Interactive product tour
This is a working demo of a fictional four-branch pharmacy in Lagos. Filter batches, open a batch record, approve actions in the queue, compare supplier quotes and confirm an extracted invoice.
Everything here is clickable. All data is sample data.
Harbor Cross Pharmacy
Growth workspace · data as of 12 Oct 2026
All branches · 24 batches tracked
Value at risk
₦1.50M
projected unsold before expiry
Critical batches
7
expiring ≤ 60 days with surplus
Stock on hand
₦5.23M
at cost, tracked batches
Expiry horizon
Value at risk by days to expiry. Select a bar to open those batches.
1 expired batch quarantined (₦38k at cost)
Insight
Artemether/Lumefantrine 20/120 mg at Lekki carries the largest exposure: about 223 of 320 packs are projected to remain when batch AL25B044 expires on 5 Dec 2026.
Demand forecast · all branches
Demand follows the rainy-season pattern seen in prior weeks; forecast peaks in late October before easing.
Activity
Who it's for
Medvigil is designed for pharmacy operations of different sizes, from a single community pharmacy to a distributor's warehouse.
Technology
Medvigil's platform is architected on AWS. Invoice capture runs on document extraction, batch and stock records sit in a managed relational database, and forecasting models are trained and served on managed machine learning infrastructure. Each stage of the pipeline below maps a Medvigil capability to the AWS service designed to carry it, so the platform can grow from one pharmacy to many branches without re-platforming.
Stage 1
Stock exports and supplier invoices are uploaded and invoice fields are extracted.
Stage 2
Products, batches, branches and transactions are stored relationally and encrypted with managed keys.
Stage 3
Records are validated and normalised, and daily expiry scans and forecasts run on a schedule.
Stage 4
Demand forecasting models score each batch; a foundation model writes plain-language explanations.
Stage 5
The web app, user sign-in with branch roles, and email and SMS alerts.
Amazon S3: Stores uploaded stock exports, supplier invoice files and model training datasets.
Amazon Textract: Extracts product names, batch numbers, expiry dates, quantities and prices from supplier invoices, with a confidence score for each field.
AWS Lambda: Runs import validation, catalogue matching and the API handlers behind the web application, including the website's lead capture endpoint.
Amazon EventBridge: Schedules the daily expiry scan, the weekly forecast refresh and digest delivery.
Amazon RDS for PostgreSQL: Holds the relational inventory model: products, batches, branches, suppliers, stock movements and approvals.
Amazon SageMaker AI: Trains and hosts the demand forecasting models that produce per-branch weekly forecasts and sell-through estimates.
Amazon Bedrock: Generates the plain-language explanation attached to each recommendation and the weekly summary for managers.
Amazon Cognito: Manages user sign-in and role-based access so staff only see the branches they are responsible for.
Amazon SES: Sends daily digests and alert emails, and delivers early-access and contact enquiries from the website.
Amazon SNS: Sends SMS alerts for critical expiry and stock-out events to branch managers.
AWS Amplify: Builds and hosts the web application and this website, with HTTPS and global content delivery.
AWS KMS: Manages the encryption keys used for data at rest in Amazon S3 and Amazon RDS.
Business progress
Medvigil is in its build stage. Early-access partners help decide what ships first and get their workspace set up from their own stock data.
Company founded in Lagos
Medvigil was founded in 2026 to reduce medicine waste and stock-outs in pharmacy operations.
Product and architecture defined
Batch-level data model, forecasting approach and AWS architecture for the platform.
Early-access programme openNow
Working with pharmacy operators to shape onboarding, imports and the daily action queue.
Pilot deploymentsNext
First workspaces with partner pharmacies, starting from their existing stock exports and invoices.
Tell us about your pharmacy. We will reply by email to arrange a walkthrough using the demo workspace.
Pricing
Pricing depends on the number of branches and products you track. Tell us about your operation and we will send a quote for early-access partners.
Independent pharmacies with one or two locations
Pricing on request · quoted per workspace
Pharmacy chains coordinating stock across branches
Pricing on request · quoted per workspace
Hospital groups and pharmaceutical distributors
Pricing on request · quoted per workspace
Leadership
Pharmacy operations, clinical practice and cloud engineering, working on one problem: medicines that expire or run out when they should not.
Founder & CEO
Former pharmacy director with a passion for using AI to eliminate medical waste.
LinkedInChief Medical Officer
Clinical pharmacist and data scientist. Leads our healthcare compliance and clinical strategy.
Head of Engineering
Ex-AWS infrastructure lead. Architected scalable systems for enterprise healthcare providers.
Contact
Questions about the product, partnerships or the company. Send a message or email us directly.