Agentic analytics for retail

Find the fashion revenue leaks before the season closes.

Bicycle watches sell-through rate, return rate, markdown depth, and size availability across the styles and channels that matter. When a number moves, it explains the likely cause and recommends the next action to the team that can fix it.

No credit card required

retail / search conversion agentAgent live
Detect
Sell-through rate
Knitwear · women's · week 4 of SS season
-21%vs SS season benchmark
Explain · likely causes, ranked
  • 1Availability dropped on top add-to-basket SKUshigh
  • 2Competitive pricing widened on 3 categoriescontributing
  • 3Search indexing lag on substitute itemscontributing
business causetechnical cause
Act · recommended next step
Notify category and replenishment with the affected SKUs, stores, and estimated revenue impact. Scoped, previewed, logged.
Evidence: search events · add-to-basket · orders · availability · pricing · catalog

A dashboard shows the drop. Bicycle finishes the investigation and recommends the fix.

Where fashion revenue breaks

Start with a single revenue KPI critical to your business.

Bicycle comes with fashion specialty industry intelligence already inside. Pick one Bicycle-recommended KPI and watch it run: the KPI it watches, the causes it checks, the action it recommends to the owner, and what it keeps.

Pick a revenue problem
Search Conversion Agent Drop
Checkout conversionRetail · mobile, last 7d −4.2%vs 4-week baseline
Mobile checkout dip after SDK deploy

A fashion specialty problem not listed here? Book a demo and we will map it.

The cost of finding out late

A dashboard shows the drop. It never finishes the investigation.

Before Bicycle

Search conversion drops. The manual chase begins.

The dashboard shows the decline. The team still checks inventory, catalog, pricing, search relevance, and regional patterns by hand, across five tools and four people.

  1. Category team checks top SKUs
  2. Replenishment checks availability
  3. Product checks search and indexing
  4. Analytics pulls city and store cuts
  5. Ops argues over who owns the fix
Hours to days. Revenue keeps leaking.
With Bicycle

Bicycle starts the investigation the moment the KPI moves.

It detects the drop, ranks the affected keywords and cities, tests business and technical causes in parallel, attaches the evidence, and routes the issue to the owner with the next step.

  1. Detect the movement, ranked by impact
  2. Test business and technical causes together
  3. Attach the evidence, rule out the rest
  4. Route the safe action to the owner
  5. Learn the accepted cause for next time
Minutes. The owner gets the cause and the move.
Capabilities · purpose-built for retail

Trained on the KPIs, patterns, and root causes of retail.

Six capabilities, set up once and run continuously. Business teams move faster, analysts keep governance, everyone trusts the number. Pick one to go deeper.

Capabilities work together in one continuous loop. Detect → Explain → Act → Learn.

Who runs this in retail

Business teams need answers fast. Analysts ensure conclusions are trustworthy.

Same governed intelligence underneath. The retail agent for the teams who own the number, the controls for the team who owns the data.

Business teams · act on it

See what changed, why, and what is safe to do.

The move finds you, ranked by revenue impact, with the cause and the next step attached. No dashboard hunt, no three-day ticket.

Ecommerce trading & merchandising
Category & replenishment owners
Growth, retention & marketplace ops
Sub-verticalsOnline groceryFashion & apparelMarketplaceShopify
Data & Analytics · keep it trusted

Govern the definitions, evidence, and safe actions.

Analysts review first-pass causes instead of rebuilding them. Leaders give the business self-service inside one governed boundary.

Data & Analytics leaders · govern at scale
Analysts & BI · review, tune, publish
Analytics engineers · tune the model
Jump to your roleBusiness teamsData & Analytics teams
What Bicycle becomes for your retail operation

The agentic analytics layer on top of your stack.

Your stack stays the system of record. Bicycle turns retail signals into alerts, triage, stories, dashboards, chat, and governed actions on top of it. No rip-and-replace.

Bicycle the agentic layer
Surfaceswhat business teams touch
AlertsTriageStoriesDashboardsChatActions
Governancethe self-serve safety rail
access · approved definitions · evidence · audit · rollback
AgentsAI · your business analyst

Frames the question, orchestrates the investigation, writes the story, recommends the next step. It reasons.

Search conversionInventory availabilityPromo profitabilityReturn spikeCheckout friction
IntelligenceAutoML · your data analyst

Detects movement, ranks drivers, computes confidence, forecasts. The numbers are calculated, not generated.

Pattern EngineCause EngineDriver TreesForecastingImpact Ranking
Business modelthe semantic layer
SKUCategoryStoreCitySearch termBasketOrderInventoryPromo
Connectorsthe bridge, in and out
Signal Cause Action Knowledge
reads ↑ · acts ↓ · Bicycle sits on top
Your stack · system of record
SnowflakeBigQuerydbtEcommerce eventsOrders & catalogPricingObservabilitySlackJiraBI+ more

And the rest of what you run: warehouse · ecommerce events · catalog · pricing · observability · BI · Slack

Bicycle runs on top of your existing systems. The retail pack supplies the starting KPIs, causes, stories, and action paths.

Vibe Analytics · self-serve start

Start with one KPI in your fashion stack.

Bring one revenue-critical KPI, connect a trusted source, and watch Bicycle turn a prompt plus your data into a fashion analytics agent. Zero to a working agent in about 15 minutes.

Prompt + data
"Watch sell-through rate by style and category, and tell me why it moves."
Snowflake · connected
Analytics agent
Builds the model, detects movement, tests business and technical causes.
Outputs
AnswerStoryAlert
Start with sell-through rateStart with return rateStart with markdown depth

Grow into the full product when your team is ready.

Test ride Bicycle on a fashion KPI.

Bring one KPI that matters. We will show how Bicycle detects the move, explains the cause, and recommends the next step on top of the stack you already run.

No credit card required

No credit card required Start for free