AI-POWERED SHELF-LIFE INTELLIGENCE
ExpiryGuard AISee risk. Act early. Waste less.
Built for grocery and food retail operators who need to see shelf-life risk early, understand the financial exposure, and act before inventory becomes a loss.
Act before shelf-life becomes loss.
Sample Store 0142 · Illustrative operating data
Independent grocers · Regional operators · Convenience stores · Specialty food retailers
WORKING PRODUCT MVP
Add a lot. See the risk. Approve the action.
This version now stores inventory lots, calculates shelf-life and financial exposure, ranks the risk queue, and retains your records after refresh. Each visitor receives a private browser workspace seeded with sample data.
Act before shelf-life becomes loss.
Records persist after refresh on this browser · Risk recalculates from current dates
THE BUSINESS OUTCOME
Every extra day of visibility creates another option.
ExpiryGuard turns a shelf-level date into a prioritized business decision—while there is still time to sell, move, discount, bundle, or change the next order.
Reduce avoidable waste
Surface products that need action before value disappears from the shelf.
Protect store margins
Use earlier markdowns, bundles, and shelf placement instead of late disposal.
Improve inventory turnover
See slow-moving, short-dated inventory before placing the next order.
Decide with evidence
Replace memory and manual checks with a prioritized, store-level action view.
MIGRATIONIQ RESPONSIBLE AI APPROACH
From Business Problem to Intelligent Action
ExpiryGuard demonstrates how MigrationIQ moves from a real operational problem to practical intelligence—grounded in the workflow, governed responsibly, and measured by business results.
- 01Protect Small-Business Margins
- 02Reduce Expiry & Inventory Loss
- 03Understand Daily Inventory Flow
- 04AI-Assisted Recommendations
- 05Less Waste & Higher Margin
MigrationIQ Mission
Make practical, responsible AI accessible to organizations of every size—turning complex data and operational challenges into better decisions and measurable outcomes.
Business Challenge
Start with the problem, not the technology. Identify where waste, manual effort, poor data, delays, risk, or fragmented processes are hurting the business.
Understand the Workflow
Understand the people, data, systems, decisions, business rules, and dependencies behind the process before introducing AI.
Responsible AI Design
Apply AI where it creates meaningful value—with appropriate controls, transparency, validation, security, and human oversight.
Measurable Business Value
Deliver outcomes the customer can recognize and measure: lower cost, reduced waste, better data, faster decisions, improved productivity, and stronger operations.
Understand the problemUnderstand the workflowApply intelligence responsiblyMeasure the outcome.
HOW IT WORKS
From shelf scan to store action.
A simple operating loop designed for small teams—not another complex enterprise system.
Capture the shelf
Use a phone camera to retain the label reference during the normal shelf walk.
Confirm the dates
The working MVP captures the structured record through human confirmation; automated OCR is the next pilot layer.
See what matters
The dashboard ranks expired, critical, high-risk, and watch items by urgency and value.
Move before waste
Simple guidance supports removal, discounting, bundling, front display, and reorder decisions.
PRODUCT CAPABILITIES
Practical intelligence at the shelf edge.
The first version is deliberately focused: capture an inventory lot, calculate expiry and value exposure, prioritize the next action, and preserve the operational record. Camera OCR and live inventory integration remain clearly identified pilot extensions.
A phone becomes the capture tool
The working MVP can capture a label photo and guides staff through confirming the inventory facts.
Dates become usable data
Automated date extraction is the next pilot capability; the MVP currently requires human confirmation.
Urgency is visible at a glance
See expired, critical, high-risk, and watch inventory in one prioritized queue.
The right action arrives earlier
The pilot roadmap will notify the store before a product crosses the threshold where options disappear.
Learn what the store is losing
Review at-risk value, recurring categories, disposition actions, and reorder signals over time.
Signals become timed action
The MVP combines expiry days, inventory, value, and sell-through into a clear rule-based recommendation; richer AI signals follow in the pilot.
VERSION 1 · EARLY ACCESS
Start with one store, one shelf walk, and one visible result.
The working MVP is ready for hands-on use with manual confirmation. The next pilot phase will add automated OCR, user accounts, alerts, and retailer inventory integration after the one-store workflow is validated.
Join the ExpiryGuard pilot