Know what is on every shelf.
Use shelf photos to identify and count visible SKUs and product facings. Compare the observed assortment with the expected range to spot missing products and prioritize store follow-ups.
Explore SKU-level evidence ↗ AI-FIRST RETAIL INTELLIGENCE
Retail audit software
built around the
business question.
Aislemetry is AI-first retail audit software for designing store audits, preparing field teams, capturing evidence, and turning retail data into clear findings and recommended actions. Count SKUs, measure share of shelf, and see where store execution needs attention.
✳Built on years of real-world
retail execution experience
retail execution experience
FROM QUESTION TO ACTION
BUSINESS QUESTION
Why are competitors
gaining share in Atlanta?
Aislemetry INTELLIGENCE●
01Design the right audit✓
02Capture store evidence✓
03Find patterns and gaps✓
04Recommend next actions↗
INTELLIGENCE
STARTS UPSTREAM
✳✳
STARTS UPSTREAM
01 — A NEW WAY TO AUDITSCROLL TO EXPLORE ↓
THE GAP
Retail audits record
the shelf. Businesses need
to understand the why.
Brands ask open questions about share, execution, pricing and growth. Traditional audits often begin with fixed questions and end with spreadsheets—leaving people to connect the evidence to a decision by hand.
“Which stores should we fix first?
TRADITIONAL AUDIT01—06
Questionnaire→Field data→Spreadsheet→Report
Manual handoffs. Insight comes after collection.↗
AislemetryCONNECTED WORKFLOW
Business
question→AI-designed
audit→Evidence→Action
Research is shaped by the business problem from the start.question→AI-designed
audit→Evidence→Action
RETAIL AUDIT SOFTWARE
One platform for
store-level answers.
Plan the work before a visit, guide consistent field execution, and connect what teams observe in stores to the question the business needs answered.
Measure your presence against competitors.
Measure your brand’s share of visible category facings: brand facings divided by total category facings. Compare shelf presence across stores, regions, and visits to identify gaps and guide merchandising decisions.
See a share of shelf example ↗Retail store audit software
Design retail store audits around availability, assortment, pricing, shelf share, displays, and planogram execution. Keep questions and evidence tied to the measures your team wants to understand.
Explore the audit workflow ↗Mystery audit software
Structure retail and mystery audit programs with clear questions, required evidence, and consistent field capture. Give analysts a connected dataset to review across stores, channels, and locations.
See the Aislemetry capabilities ↗Pre-journey planning for field audits
Prepare the audit before fieldwork begins: define store scope, organize sampling by zone and outlet type, set the questions and metrics, and specify the photos or observations teams need to collect.
See an audit plan example ↗ONE CONNECTED SYSTEM
From business problem
to next best action.
Each stage passes structured context forward, so the evidence stays connected to the question that started the work.
01 INPUT
Business problem
Start in plain language with the question your team needs answered.
“Why are we losing share?”
02 AI
AI audit design
Generate the methodology, questions, evidence, metrics and sampling plan.
Designed for the question
03 FIELD
Structured evidence
Capture answers, photos and store context in a consistent format.
GPS · Timestamp · Photos
04 AI
Retail intelligence
Read visual evidence, compare dimensions and surface patterns and gaps.
Evidence-linked findings
05 TEAM
Recommended action
Give teams clear next moves they can review, prioritize and decide on.
Your team makes the call
A QUESTION, MADE MEASURABLE
“Why are competitors gaining share in Atlanta?”
Aislemetry breaks the business question into dimensions field teams can measure and the analysis can compare.
See the capabilities ↓AI AUDIT DESIGNER READY FOR REVIEW
01Share of shelfFacings vs. competitors
02SKU countingVisible SKUs and facings
03PricingShelf and promo prices
04PromotionsOffers and deals running
05AssortmentRange carried per store
06VisibilityDisplays and POSM
07ExecutionPlanogram compliance
08GeographyZone and outlet type
8 AUDIT DIMENSIONSBUILT FROM ONE QUESTION ✳
THE Aislemetry PRODUCT
Six capabilities.
One workflow.
Purpose-built AI capabilities carry the audit from design through interpretation and action.
01↗
AI Audit Designer
Turns the business problem into an audit methodology.
02↗
AI Field Intelligence
Structures and validates field data collection.
03↗
AI Visual Intelligence
Reads shelf photos to identify visible SKUs, count facings, and measure share of shelf.
04↗
AI Analytics
Finds patterns across large volumes of audit data.
05↗
AI Insights
Converts raw results into clear business findings.
06↗
AI Action Layer
Connects insights to recommended actions.
FROM EVIDENCE TO INTELLIGENCE
See the pattern.
Trace it to the store.
Findings arrive with the evidence behind them, giving teams a way to investigate before they act.
ILLUSTRATIVE AI INSIGHT
Competitor X has higher shelf visibility in North Atlanta, particularly where promotional displays are present.
Linked evidenceShelf photos · Display data · Store zones
COMPETITOR X SHARE OF SHELF BY ATLANTA ZONE
Illustrative example with sample data; not customer results.
INTELLIGENCE TO ACTION
Recommendations
with room for judgment.
Aislemetry connects findings to the stores and evidence behind them. Your team reviews the options, sets priorities and makes the final call.
Back to the beginning ↑01
Increase display presence in priority clusters
↗02
Improve promotional execution
↗03
Address assortment gaps
↗04
Investigate competitor pricing
↗Recommendations are starting points. Business teams review and decide.
WHY Aislemetry
AI-native technology.
Grounded in retail execution.
Aislemetry builds on years of operational experience, field work and retail data.
85M+
Retail checklists completed
1B+
Images processed
Enterprise
Experience across retail and facilities
Field-tested
Built from real-world retail execution
COMMON QUESTIONS
Retail audit software
questions, answered.
What is retail audit software?+
Retail audit software helps brands and field teams plan store checks, capture structured observations and photos, and analyze retail execution across locations. Aislemetry adds AI-assisted audit design and evidence-linked insights to that workflow.
How does SKU counting work?+
Aislemetry Visual Intelligence is designed to identify visible SKUs and count their facings from shelf photos. Teams can compare the observed assortment with the expected range and review the linked photos to investigate gaps. Shelf observations reflect visible products at the time of the visit.
How is share of shelf measured?+
For a facings-based audit, share of shelf is your brand’s visible facings divided by the total visible facings in the audited category, multiplied by 100. For example, 20 brand facings out of 100 category facings equals 20% share of shelf. Use a consistent category scope across stores and visits to make comparisons meaningful.
Can Aislemetry support mystery audits?+
Aislemetry is designed to support retail and mystery audit programs by structuring questions, field evidence, and analysis around the business problem. The specific methodology is reviewed by your team before launch.
What goes into a pre-journey plan?+
A pre-journey plan can define the store scope and sampling, questions, metrics, required photos or other evidence, and the analysis approach before auditors visit stores.
How does Aislemetry use store photos?+
Aislemetry Visual Intelligence is designed to read store and shelf photos and structure observations such as product presence, facings, share of shelf, displays, and planogram compliance. Examples on this page are illustrative.
✳
THE NEXT CHAPTER OF RETAIL AUDITS
Better questions.
Smarter evidence.
Clearer action.
Aislemetry brings business context into the audit—and intelligence back to the business.
Explore Aislemetry ↑