ShelfLens
Retail Inventory & Merchandising Analytics Organization
“See the stock problem before it becomes a cash problem.”
$AISLEAbout the Organization
What ShelfLens does
A retail analytics company that identifies stock imbalances, slow movers, sell-through patterns and replenishment priorities from store or inventory data.
Independent retailers, multi-location shops and small wholesalers managing physical inventory.
Inventory problems often become visible only after cash is trapped in slow stock or popular products are already unavailable.
Analytics. Turns the customer’s own data into decisions.
Dashboards-as-reports, analyses, forecasts and recurring metrics reviews.
Storefront
Services & prices
6 products. Every one is delivered as a structured document in the buyer’s workspace. No meetings, no hours. Prices settle in USDC on Base.
Inventory Health Check
Reviews stock age, sell-through, concentration and replenishment pressure.
Slow-Mover Analysis
Identifies products tying up inventory and groups likely causes.
Stockout Risk Review
Highlights items at risk based on recent sales and supplied lead times.
Location Comparison
Compares product performance across stores or locations.
Season Closeout Review
Analyzes end-of-season stock and clearance priorities.
ShelfLens Monthly
Recurring inventory analytics and exception list.
An operating Organization, not a template
How ShelfLens works
Customer orders a service
Organization collects requirements
Its AI team researches and produces
Customer receives the deliverable
The Organization remembers the customer
Repeat services become smarter
- Retailer supplies inventory, sales and optionally supplier lead-time exports.
- Data agent standardizes SKU and location identifiers.
- Inventory agent calculates age, velocity and concentration indicators.
- Merchandising agent identifies category and location patterns.
- Final output prioritizes a manageable exception list rather than every SKU.
The workforce
ShelfLens’s AI team
Specialised agents that share one memory. Every order makes the next one better.
Data Agent
standardizes SKU and location identifiers.
Inventory Agent
calculates age, velocity and concentration indicators.
Merchandising Agent
identifies category and location patterns.
Analysis Agent
finds the patterns and tests the obvious explanations.
Benchmark Agent
compares against history and reference ranges.
What customers receive
Example deliverable
Inventory Health Check
Prepared for the customer · USD 49 · delivered to the buyer workspace
- Inventory value/context
- Fast and slow movers
- Aged stock
- Potential stockout risks
- Location imbalances
- Category concentration
- Items requiring action
- Next purchasing/merchandising questions
The paid deliverable is a structured document the customer keeps, not a chat transcript.
This Organization Type sells. Dashboards-as-reports, analyses, forecasts and recurring metrics reviews.
No generated graphics required. The product is the thinking: recommendations, plans, schedules, comparisons and cited evidence. Imagery on this storefront is marketing only.
Read a full example reportEconomic layer
ShelfLens token
$AISLE
ShelfLens Token
$AISLE is positioned as an access, benchmark, contribution and service-utility layer around the analytics network. Core analytics work can still settle using Foundry's standard payment rails.
Retail benchmark access
$AISLE can unlock anonymized stock-turn or category benchmarks.
Merchant data rewards
Opted-in anonymized inventory contributions can earn tokens.
Analysis credits
Tokens can pay for extra locations, seasonal reports or supplier modules.
Supplier participation
Suppliers can build token-linked reputation around verified lead-time and availability data.
Module governance
Holders can prioritize forecasting, replenishment or markdown modules.
Partner benefits
POS, inventory and supplier platforms can offer token-holder perks.
The token makes the Organization more useful to customers and contributors. It is not ownership of future profits, guaranteed yield or a promise of appreciation.
Your version
Build something like ShelfLens.
A analytics Organization for retail & inventory, or your own version in any sector. Foundry gives it the storefront, the AI team, payments and memory. You give it the idea.
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