Bicycle
Hi, John

Walmart's marketplace intelligence, ready in 15 minutes.

Bicycle watches seller GMV, listing quality, and take rate across your marketplace segments. Before your next review, you will know which seller, which category, and why it moved.

Your data stays in your warehouse. Bicycle reads it, doesn't copy it.

~15 min to first insight
24/7 monitoring
0 data copied
Sample Alerts Preview
Electronics seller GMV drop · APAC Escalated

GMV down 22% on 5 APAC sellers after buy-box lost on 38 SKUs. Cause: price gap widened to 12%. Action: notify merchant success, flag compliance gap.

Type: Commercial 3 mins ago
Listing quality threshold · Home & Garden Open

Quality score -19% after new attribute enforcement. 2,340 SKUs below compliance floor. Sellers not yet notified of the gap.

Type: Catalog 8 mins ago
Seller SLA breach · Fashion cohort Resolved

Breach rate +28% after warehouse layout change. Route update applied. 3 affected sellers back within SLA.

Type: Ops Resolved 14 min ago
Take-rate erosion · Q4 electronics promo Escalated

Net take rate -1.8pp below Q4 plan. Promo credit running 2.3x budget in electronics. Finance review triggered.

Type: Finance 18 mins ago
About Bicycle

What Bicycle does for a VP of Marketplaces.

Bicycle is an analytics agent that watches the revenue-critical KPIs in your marketplace, explains why they moved, and recommends the safe next action to the right owner, continuously, before anyone asks.

It does not replace your data warehouse, your BI tool, or your analyst team. It works on top of the stack Walmart already runs: Snowflake, dbt, whatever is in place. The questions your team answers manually today, Bicycle answers automatically.

For a VP of Marketplaces, that means seller GMV movements, listing quality drifts, and take-rate erosion surface before the weekly review, with the cause already named and the owner already routed.

The Bicycle Overview Deck
12 slides. The product, the workflow, the results. Customised for marketplace buyers.
Before & After

What changes when Bicycle is in the loop.

Without Bicycle

A top seller's GMV dips Monday. It surfaces in the weekly review Thursday. The team investigates Friday. A fix is in place the following week.

Listing quality in Home and Garden drops after a new attribute requirement. No one notices until search ranking falls and sellers start complaining.

Q4 take-rate erosion is only visible in the month-end finance pack. By then, the promo credits have already run over by $2M.

Your analysts spend 3 days per week building the same recurring marketplace performance investigations.

With Bicycle

The seller GMV dip surfaces at 9:14 AM Monday, with the cause (price gap to competitor, buy-box lost on 38 SKUs) already named. Merchant success is notified before lunch.

The listing quality drop surfaces before search ranking is impacted. The 2,340 non-compliant SKUs are flagged. The catalog team is routed the fix list with a one-click action.

Take-rate erosion is visible in week 1 of the promo event. Finance gets an alert with the component breakdown. The promo credit cap is applied before the overrun compounds.

Recurring marketplace investigations are handled by Bicycle. Your analysts focus on strategic questions that require human judgment, not repeatable pattern detection.

Capabilities

How Bicycle works in your marketplace.

Six capabilities, built for the marketplace operating context. Personalized to Walmart's seller structure, data stack, and team workflows.

01 · Setup
Rapid Activation (on your stack)
Seller feeds, GMV, listing, orders, fulfillment, take-rate, already connected to Snowflake. Bicycle reads what's there. No rebuild, no data copy, no new warehouse.
02 · Setup
Vertical native context
Speaks seller, SKU, GMV, category, listing quality, take rate. Answers arrive in marketplace language. No translation layer between the data and the team.
03 · Detect
Always on KPI Intelligence
Watches seller GMV, listing quality, and take rate at segment level, seller, category, tier, region. Surfaces movements before the weekly review. Runs 24/7 without an analyst.
04 · Explain
Multi factor cause Analysis
Checks listing quality, price, availability, fulfillment SLA, feed health, and demand signal together, not in turn. The cause is in the alert, not the next ticket.
05 · Explain
Defensible answers and data validation
Every finding names the seller, the SKU, the root cause, and the source system. The same answer holds up in the merchant review and the finance review. Trust the number.
06 · Scale
Governed self service and actions with guardrails
Merchant success, catalog, finance, and ops self-serve inside one governance plane. Roles, permissions, approval flows, and rollback. The team acts without creating risk.
Bicycle For Your Stack

Connects to Walmart's data. Doesn't move it.

Bicycle activates on top of the stack Walmart already runs. No new data pipeline, no warehouse migration, no schema changes. Connect Snowflake, Bicycle reads the seller and marketplace signals already there.

Setup: one read-only connection, a review of the auto-suggested marketplace KPI library, and your first agent is running. Most teams are seeing their first alert in under 15 minutes.

Snowflake
+
dbt
+
Looker
+
Bicycle

Bicycle connects alongside Looker, not instead of it. Dashboards show what happened. Bicycle tells you why, and what to do next.

Pre-selected for Walmart Marketplaces
Vertical
Retail · Marketplaces
Starting Use Case
Seller GMV monitoring
6 Walmart-specific scenarios ready
Data Source
Snowflake · read-only
Zero data copied or stored
Start connecting
Use Cases

The marketplace problems Bicycle solves first.

Three use cases most VP Marketplace teams activate in week one. Each runs automatically, detects in real time, and explains the cause in the alert.

Commercial · Merchant success
Seller GMV drop
Bicycle watches GMV at seller and category level. When a top seller dips, it explains listing, fulfillment, and price drivers in the alert. Merchant success is routed before the day ends.
Detect Explain Act
Catalog · Merchandising
Listing quality decline
Listing quality falls in a category after a requirement change. Bicycle flags the 2,300 non-compliant SKUs before search ranking is impacted, and routes the fix list to catalog with one-click action.
Detect Explain Act
Finance · Commercial
Take-rate erosion
Net take rate slips in the first week of Q4 promo. Bicycle separates commission mix, promo credit depth, fee waivers, and incentive overlap for finance and commercial to act on immediately.
Detect Explain Act

Three more use cases included: Seller fulfillment SLA breach · New seller activation stall · Category search conversion drop. See the full list.

Playbook

How a VP of Marketplaces gets to value.

Four weeks from connection to full marketplace intelligence. Most teams see their first alert in 15 minutes and are in steady-state by week three.

1
Day 1 · 15 minutes
Connect Snowflake and review the auto-suggested marketplace KPI library
Read-only connection. Bicycle auto-suggests seller GMV, listing quality, take rate, and fulfillment SLA as starting KPIs from what's already in your schema.
2
Week 1
First seller GMV alerts active, tuned for Walmart seller segments
Approve baselines for your top seller tiers. The first GMV and listing quality alerts are running. Your merchant success team gets their first routed finding.
3
Week 2
Take-rate and search conversion monitoring live
Finance and commercial self-serve from the take-rate agent. Search conversion alerts route to the search and merchandising teams with keyword-level evidence.
4
Week 3-4
Full marketplace health active. Team self-serves within governed permissions
All six use cases running. Roles, permissions, and approvals configured. The weekly marketplace review shifts from investigation to decision. Analyst time freed for strategic questions.
Day in the Life

John's marketplace day, with Bicycle in it.

A Wednesday at Walmart Marketplaces after Bicycle is live. No extra meetings, no new dashboards, no analyst interruptions.

8:15 AM
APAC electronics GMV alert in Slack before standup
Bicycle surfaces a seller GMV drop at 8:15 AM. The cause is already in the alert: 5 APAC sellers lost buy-box after a competitor undercut their price by 12% over the weekend. No investigation needed.
Detect
8:45 AM
Merchant success reviews the cause and acts in one click
The merchant success lead reviews the price gap evidence and compliance gap in Bicycle. One click notifies all 5 sellers with the specific SKUs and a pricing strategy brief. No ticket, no meeting, no investigation week.
Explain Act
10:30 AM
Listing quality alert: Home and Garden, 2,340 SKUs below floor
Bicycle flags a listing quality threshold breach after this morning's attribute enforcement. The catalog lead gets the 2,340 non-compliant SKUs, sorted by traffic impact. A one-click seller notification goes out. Search ranking is not yet impacted.
Detect Act
2:00 PM
Q4 take-rate week-1 tracking: promo credit running 2.3x budget
Finance gets a take-rate alert showing promo credit overspend in electronics. Bicycle breaks it down: high-AOV basket redemption not capped, fee waivers extended without sign-off. Finance applies the cap before the overrun compounds. No month-end surprise.
Explain Act
4:30 PM
Daily summary: 3 issues detected, 2 resolved, 1 in progress
Bicycle sends a daily summary to John. Three marketplace issues detected today. Two fully resolved before the end of the business day. One (the take-rate promo cap) in progress with finance. No unreviewed open issues. Wednesday's review is 20 minutes instead of 90.
Learn
FAQs

Questions specific to Walmart and your role.

How long does setup actually take?
Under 15 minutes to your first alert. You connect Snowflake with a read-only credential, Bicycle auto-suggests the marketplace KPIs it finds in your schema, you review and approve the baselines, and the first seller GMV agent starts running. Most teams are in steady-state across all six use cases by the end of week two.
What data does Bicycle actually access at Walmart?
Bicycle reads from your Snowflake instance using a read-only service account. It accesses the seller, GMV, listing, order, and take-rate tables you specify. No data is copied, stored, or moved outside your warehouse. Bicycle processes queries in place and returns findings, not raw data. Your security team can review the full data access spec before connection.
How is this different from the Looker dashboards we already have?
Looker shows you what happened. Bicycle tells you why it happened and what to do about it, continuously, without anyone having to look. Your Looker dashboards remain the source of record. Bicycle watches the same data and surfaces the movements that need attention before they appear in a dashboard view. The two work together: Bicycle routes the finding, Looker provides the broader context.
Who owns the alerts and actions in the team?
You configure routing as part of setup: GMV alerts go to merchant success, listing quality to catalog, take-rate to finance and commercial, SLA breaches to ops. Each team sees only the findings relevant to their role and only the actions within their permissions. Actions require approval where configured. Every action is logged with the evidence that triggered it.
Is Bicycle compliant with Walmart's data security requirements?
Bicycle is SOC 2 Type II certified. The architecture is read-only by design: no data is stored on Bicycle infrastructure, no PII is moved, and all queries are executed in your Snowflake environment. We can provide the full security documentation and a dedicated security review session for Walmart's information security team before you sign anything.
What does the trial give me?
Full product access for 14 days. Connect Snowflake, configure your first marketplace agent, and watch it run on your own data. You get all six use cases, full DEAL detection and explanation, and team routing. No credit card required. At the end, you have a real working agent on your real marketplace data, and a clear view of what Bicycle is worth to Walmart's team.
Ready when you are, John

Start with one Walmart marketplace KPI.

Bring seller GMV or listing quality. Connect Snowflake. Watch Bicycle detect the move, explain the cause, and recommend the next step on top of the stack Walmart already runs.

No credit card required. Your data never leaves Walmart's warehouse. Security overview.