StockSentry

Inventory intelligence · Early access 2026

Know which shelves go empty before your customers do.

StockSentry reads your sales history, purchase orders, seasonality and supplier delivery records, then tells your team what will run out, what to reorder, how much, and which stock movements look wrong.

Request Early Access Explore the Demo
Forecast
SKU-level demand
Predict
stockout dates
Detect
shrinkage signals
Stockout watchlist
Sample data

  • AA Alkaline Batteries x4

    ELC-7730 · Online Store

    7.1d cover

  • Malted Drink 400g Tin

    BEV-1042 · Ikeja Branch

    4.6d cover

  • Parboiled Rice 5kg

    FDS-0907 · Central Warehouse

    5.4d cover

  • Baby Diapers Size 3 x60

    PCR-5521 · Ikeja Branch

    7.9d cover

  • Paracetamol 500mg x100

    PHA-2210 · Central Warehouse

    9.2d cover

Marker shows supplier lead time. Bars left of it need an order today.

The problem

Most stock problems are visible weeks early. The data is just scattered.

Sales sit in the POS, purchase orders in email, supplier invoices on paper and counts in a spreadsheet. Inventory managers make reorder calls from memory, and the cost shows up as empty shelves, lost sales, emergency freight and write-offs.

How StockSentry fixes it

One model of your inventory that combines demand, lead time and supplier reliability per SKU and location, and recalculates as new sales and deliveries arrive.

  1. 01

    Spreadsheet reorder points

    Min/max levels are set once and rarely revisited, so they miss festive peaks, school terms, price changes and promotions.

  2. 02

    Lead times that drift

    A supplier quoted seven days now takes eleven. Nobody notices until the shelf is empty and the next truck is days out.

  3. 03

    Losses found at stocktake

    Shrinkage, short deliveries and keying errors surface months later, after the money is gone and the trail is cold.

  4. 04

    Overstock tying up cash

    Fear of stockouts leads to padded orders: slow movers sit in the warehouse and pharmaceuticals approach expiry.

Core capabilities

Six connected tools, one view of stock risk.

AI Demand Forecasting

Projects unit demand per SKU and location from sales history, seasonality, promotions and calendar events.

Buy for the demand that is coming, not the demand you had last month.

Smart Restocking

Converts forecasts, current stock and lead time into an order date and quantity for each product.

Buyers approve a ranked list instead of building orders from scratch.

Reorder point186 u
Suggested qty420 u
Order byNov 4

Stockout Prediction

Estimates the day each item runs out and compares it with the next replenishment window.

See empty shelves days before they happen.

Supplier Performance Analysis

Scores suppliers on on-time delivery, fill rate and lead-time variance from your purchase records.

Plan safety stock around how suppliers actually behave.

Medivex
94%
Agrofield
83%
Voltex
58%

Inventory Anomaly Detection

Flags count shortfalls, unusual adjustments, received-quantity mismatches and sales spikes outside the normal pattern.

Investigate losses while the evidence is still fresh.

Invoice and Receipt Extraction

Reads supplier invoices and receipts and turns line items into structured purchase data.

Feeds supplier and receiving checks without manual data entry.

INV-88213extracted

How it works

From raw exports to a reorder list in five steps.

  1. 1

    Connect

    Upload sales and stock exports, purchase orders and supplier invoices, or connect POS and ERP data through the API.

  2. 2

    Clean and match

    Records are normalised to SKUs, locations and suppliers. Invoices are read and matched to receipts.

  3. 3

    Model

    Demand, lead time and supplier reliability are modelled per item, then compared against stock on hand.

  4. 4

    Recommend

    Stockout dates, reorder quantities and anomaly alerts appear in one prioritised workspace.

  5. 5

    Approve

    Buyers accept, edit or dismiss suggestions. Every decision feeds back into the next forecast.

Interactive product preview

Try the StockSentry workspace.

Search products, open a forecast, approve a reorder, resolve an anomaly. This preview runs in your browser on fictional sample data.

Sample data

SKUs monitored

8

At stockout risk

4

Pending orders

4

Open anomalies

4

ProductLocationOn handCoverRisk

Malted Drink 400g Tin

BEV-1042

Ikeja Branch1424.6dcritical

Paracetamol 500mg x100

PHA-2210

Central Warehouse8809.2dhigh

Liquid Detergent 2L

HOM-3318

Lekki Branch41018.6dlow

Parboiled Rice 5kg

FDS-0907

Central Warehouse2605.4dhigh

Baby Diapers Size 3 x60

PCR-5521

Ikeja Branch957.9dmedium

Bottled Water 75cl x12

BEV-1188

Lekki Branch13209.4dlow

AA Alkaline Batteries x4

ELC-7730

Online Store647.1dcritical

Vegetable Oil 3L

FDS-0451

Ikeja Branch34012.6dmedium

Who it's for

Built for teams that carry stock.

Retail stores and supermarket chains

ProblemHundreds of fast-moving SKUs across branches, each with its own demand pattern.

How they use itBranch managers check the daily watchlist and approve transfers or reorders.

BenefitFewer empty shelves on high-margin lines.

Wholesale distributors

ProblemLarge orders from many suppliers with uneven lead times.

How they use itBuyers plan purchase orders around supplier reliability scores.

BenefitLower safety stock without more stockouts.

E-commerce businesses

ProblemPromotions and campaigns create demand spikes that drain stock overnight.

How they use itForecasts account for campaign periods; alerts fire when sell-through accelerates.

BenefitFewer cancelled orders and out-of-stock listings.

Pharmaceutical distributors

ProblemEssential medicines cannot run out, and slow lines carry expiry risk.

How they use itTeams track cover days per item and receive mismatch alerts on deliveries.

BenefitSteady availability with less expired stock.

Manufacturers and warehouse managers

ProblemRaw-material shortages stop production lines.

How they use itPlanners watch component cover against supplier lead time.

BenefitMaterial ordered before the line is at risk.

Technology

How We Use Amazon Web Services

StockSentry's proposed AWS architecture keeps the full inventory pipeline in one serverless environment: raw sales exports and supplier invoices land in Amazon S3, Amazon Textract reads purchasing documents, AWS Lambda runs scheduled forecasting and reconciliation jobs, Amazon DynamoDB holds live stock and forecast records, Amazon Bedrock turns model outputs into plain-language recommendations, and Amazon API Gateway exposes everything to the web app and to customer POS and ERP integrations.

  1. Stage 1

    Data Collection

    Amazon API Gateway

    Receives file uploads and POS/ERP data through authenticated API endpoints.

  2. Stage 2

    Secure Storage

    Amazon S3

    Holds sales history, stock reports and supplier invoices per customer workspace.

  3. Stage 3

    Processing

    AWS Lambda + Amazon Textract

    Extracts invoice line items, cleans records and runs forecast jobs on schedule.

  4. Stage 4

    AI Intelligence

    Amazon Bedrock

    Generates restock reasoning, anomaly explanations and supplier summaries.

  5. Stage 5

    Application Experience

    Amazon DynamoDB

    Serves stock levels, forecasts and alerts to the dashboard with low latency.

  • Amazon Bedrock: Generates inventory insights, restock reasoning and plain-language explanations of anomalies and supplier trends.
  • AWS Lambda: Runs automated forecasting, stockout calculations, reconciliation and data-processing tasks without managing servers.
  • Amazon S3: Stores historical sales records, inventory reports and uploaded business documents.
  • Amazon DynamoDB: Stores product information, stock levels, supplier scores and forecasting results.
  • Amazon API Gateway: Provides secure API access for the web application and for customer integrations.
  • Amazon Textract: Extracts product and purchasing information from uploaded invoices and receipts.

Business progress

StockSentry is in active development.

We are building the first version with a small group of inventory teams in mind. Early-access participants help shape forecasting rules, alert thresholds and integrations for their sector.

  1. Now

    Product design, forecasting logic and the interactive workspace preview

  2. Next

    MVP build on the proposed AWS architecture with CSV and invoice ingestion

  3. Then

    Early-access onboarding with retail and distribution design partners

Pricing

Annual plans sized to your catalogue.

Billed annually. Plans are available to early-access customers as the product launches.

Starter

Single-location retailers and growing e-commerce stores

$10,000/ year

  • Demand forecasting for up to 2,500 SKUs
  • Stockout prediction and daily risk watchlist
  • Smart restocking recommendations
  • CSV and spreadsheet data imports
  • Email support
Request Early Access

Growth

Multi-branch retailers and wholesale distributors

$20,000/ year

  • Everything in Starter, up to 15,000 SKUs
  • Supplier performance scoring
  • Inventory anomaly detection
  • Invoice and receipt extraction
  • Multi-location stock views
Request Early Access

Enterprise

Pharmaceutical distributors, manufacturers and supermarket chains

$40,000/ year

  • Everything in Growth, high-volume SKU catalogues
  • API access for ERP and POS integrations
  • Custom forecasting horizons and rules
  • Role-based approval workflows
  • Dedicated onboarding
Contact Sales

Team

The Team Behind StockSentry

Fawaz Oluwabusayo Bello

Founder

Fawaz founded StockSentry in 2026 to give retailers, wholesalers and distributors earlier warning of stockouts and inventory losses. He leads product direction, the forecasting and anomaly-detection roadmap, and the platform's AWS architecture.

StockSentry on LinkedIn

Contact

Talk to the team.

Questions about the product, pricing or partnering with us on early access.

fawaz@stocksentry.sitelinkedin.com/company/stocksentry