AI Solutions for Retail, Travel & Payments

Decision Powered by AI Agents

Bicycle AI empowers decisions across three layers, aligned with how your teams run their day.

Tactical (In-the-Moment Decision)

Bicycle AI automatically detects and flags deviations, showing the root cause and business impact. This helps you act quickly, prevent revenue leakage, and uncover new opportunities.

Strategic (Quarter-Shaping)

Leverage Bicycle AI to analyze longer-term data, uncover opportunities like region-specific drivers, and create plans that help teams optimize strategies and drive measurable growth each quarter.

Ad-Hoc  (Ask and Act)

Bicycle AI lets teams explore data, analyze performance across dimensions, and get instant answers with chat-style prompts. Create custom use case agents to track specific areas of interest.

Bicycle AI for Your Industry

Bicycle AI is built for Retail, Payments, and Travel

Retail & Ecommerce

Payments & Fintech

Travel & Hospitality

We track demand versus availability, price integrity, and the key customer journeys that decide margin, from search to product detail page and cart to payment.

Tactical (In-the-Moment Decision)

Detect out-of-stock bursts by ZIP code, store, or device. Trigger reorders, throttle promotions, or swap recommended items before cart rates drop.
Catch PDP and cart price or promotion mismatches within minutes, not after a week of "something's off”.
When search appears healthy but add-to-cart rates drop, we correlate it with variant mapping, image updates, and supplier lead times. The problem is often not related to marketing.

Strategic (Quarter-Shaping)

Pinpoint margin drift by sub-category or brand and fix the silent issues like pack sizes, promotion depth, and return mix, not just the list price
Optimize assortment by region and channel. We identify where substitutions help, where they hurt, and which long-tail SKUs are simply tying up cash.
Create supplier and fulfillment scorecards tied to conversion and refunds, not just superficial on-time, in-full (OTIF) metrics.

Ad-Hoc (Ask and Act)

“Why did skincare checkout drop on iOS after 5 p.m.?”
“Which 40 SKUs drove 80% of last week’s refund loss and what should we fix first, the pack, the price, or the promise date?”

A Major Retailer Cuts Time-to-Market by 3 Months

A major retailer accelerated growth using Bicycle AI, which uncovered search conversion issues and root causes like inventory gaps, pricing shifts, and competitive pricing. This helped the team cut time-to-market by three months.

We track approval, cost of payments, and friction added to prevent fraud.

Tactical (In-the-Moment Decision)

Identify 20 to 40-minute issuer or BIN pockets where approvals are low. Route around failing endpoints and automatically adjust retries.
Catch policy regressions right after releases, such as when AVS/3DS is turned off by default, before Finance sees the bill.
Detect chargeback clusters early and tie them to specific campaigns, merchants, or flows, instead of a generic "fraud is up" label.

Strategic (Quarter-Shaping)

Implement issuer routing and retry policies that increase approvals without increasing risk.
Improve interchange achievement by finding downgrade drivers, such as AVS/3DS regressions, MCC drift, and descriptor changes, and then set clear guardrails.
Model fraud versus friction to determine when to step up or back off based on segment, device, and geography.

Ad-Hoc (Ask and Act)

"Which BINs saw second-attempt approvals fall yesterday, and what changed?"
"Which merchants are downgrade-heavy because of settlement timing or data quality?"

A Leading Fintech Saves 4 Hours Per Approval Drop

A leading fintech improved operational efficiency with Bicycle AI, which instantly detected approval rate drops and linked them to events like code deployments, enabling fast corrective action and saving four hours per approval.

We track look-to-book, rejections, and ancillary attach rates.

Tactical (In-the-Moment Decision)

Pinpoint burst rejections linked to a specific carrier or GDS, which are often caused by a tax/fee change or a timeout threshold adjustment. Bicycle AI recommends rerouting or holding back rules, not just displaying a red banner.
Prevent "price sensitivity" narratives that are actually caching or mapping issues by monitoring fare parity and fee drift by market
When payment-step drop-offs occur on specific devices or in certain locations, Bicycle AI triggers a known workaround while engineering fixes the root cause.

Strategic (Quarter-Shaping)

Optimize fare-bucket and promotion cadences based on demand curves versus seat or room inventory to maximize profit, not just occupancy.
Identify ancillary attach gaps by route or brand and align offers with availability rules and checkout flow design.
Tie supplier or GDS performance directly to rejection mix and look-to-book rates.

Ad-Hoc (Ask and Act)

“Why did mobile bookings for JFK to LAX dip after 6 p.m.?"
"Which routes are losing bag-fee attach because of availability rules or user interface regressions?"

A Top OTA Achieves 55% Lift in Orders Per Email

A leading OTA increased bookings by using Bicycle AI to optimize price-drop email campaigns across 50,000 routes. Real-time insights into customer behavior guided timely campaign adjustments and drove strong performance.

Empowering Data & Business Leaders with AI Agents

For Data Leaders

Zero manual wrangling
Bicycle automatically onboards, maps, and transforms data across multiple sources.
Faster time to value
Prebuilt AI agents continuously analyze data in real time, catching issues early.
Lower cost of ownershi
Accelerate insights and reduce operational overhead with automated processes.
Shift from requests to strategy
Free your team from ad-hoc data pulls and dashboard requests to focus on high-impact initiatives.
Automated analysis
Out-of-the-box agents handle day-to-day tasks, eliminating manual marathons.

For Business Leaders

Instant performance insights
Detect revenue-impacting issues and growth opportunities in real time.
Proactive revenue protection
Stop leaks and capitalize on upsides before your next daily stand-up.
Uncover hidden opportunities
Identify ways to optimize margins, increase conversion rates, and improve customer retention.
Make faster decisions
Get instant answers to business questions with AI-powered analytics.
No data expertise needed
Use a conversational interface to explore data without relying on overburdened data teams.

Unified Layer

Business and Data teams operate from one source of truth.

Closed-Loop Learning

Business and Data teams operate from one source of truth.

Enterprise-Grade Trust

Security, governance, and scale are standard, not add-ons

What Our Clients Say

“Our supply chain and logistics technology relies on real-time data from a variety of sources. Bicycle supplements our data science efforts by providing proactive, event-driven insights to help deliver a superior customer experience.”

Blair Koch

Chief Digital Officer, ACERTUS

“With over 35,000 restaurant locations leveraging the UrbanPiper software and processing millions of orders every week, Bicycle has been pivotal in our approach to data-driven decision-making.”

Saurabh Gupta

Co-Founder/CEO, UrbanPiper

"Focusing on aggregate metrics might boost our bottom line, but true profit growth often lies in the details. Bicycle empowers us to spot hyper specific opportunities and pinpoint key drivers. This shift from broad strokes to precision targeting is transforming our supply chain strategy."

Rakshit Daga

CPTO, bigbasket

Frequently Asked Questions

Which industries does Bicycle AI serve?

Bicycle AI offers purpose-built agents and insights for the retail, payments, and travel industries, directly addressing the unique operational challenges and revenue drivers in each sector.

What types of problems does Bicycle AI solve for my team?

Our AI agents empower decisions across three key layers: For tactical needs, they prevent immediate revenue loss by detecting issues as they happen and recommending fast fixes. For strategic goals, they uncover long-term opportunities to optimize revenue and improve margins. For ad hoc needs, they provide instant, on-demand answers using conversational prompts.

How does Bicycle AI support retail industry challenges?

For retail, Bicycle AI detects inventory issues, pricing anomalies, and promotion performance in real time. Our agents proactively identify what’s causing issues, helping retailers prevent revenue leaks and optimize the entire customer experience.

What benefits does Bicycle AI bring to payments and fintech businesses?

For payments and fintech, Bicycle AI identifies transaction anomalies, payment failures, and pricing inefficiencies. This enables faster detection and resolution of critical issues, helping you safeguard revenue and improve operational excellence.

How does Bicycle AI help travel companies improve operations?

In travel, Bicycle AI analyzes bookings, cancellations, and external factors like weather or regional events. It provides instant insights to reduce churn, maximize revenue per booking, and ensure smooth operations without manual analysis.

AI-Powered Actions Tailored to Your Industry

Decision Powered by AI Agents

Tactical (In-the-Moment Decision)

Strategic (Quarter-Shaping)

Ad-Hoc  (Ask and Act)

Bicycle AI for Your Industry

We track demand versus availability, price integrity, and the key customer journeys that decide margin, from search to product detail page and cart to payment.

We track approval, cost of payments, and friction added to prevent fraud.

We track look-to-book, rejections, and ancillary attach rates.

Empowering Data & Business Leaders with AI Agents

For Data Leaders

For Business Leaders

Unified Layer

Closed-Loop Learning

Enterprise-Grade Trust

What Our Clients Say

Frequently Asked Questions

Ready to Unlock AI-Driven Decisions for Your Industry?