Managed Marketplaces · AI for Merchants
Platforms connecting buyers, sellers, and sometimes third-party service providers, where the operator actively controls quality, safety, and the end-to-end experience.
Proactive AI for
marketplace merchant success
While your team is reviewing dashboards to find out which merchants are struggling, Cimba is already surfacing who's at risk, why, and what to do, across your entire merchant base, in real time.
Churn signals caught before merchants go silent
Monitor GMV trends, session frequency, and engagement patterns across your entire merchant base. Get specific alerts on at-risk merchants while there's still time to intervene, not after they've already disengaged.
Stock-outs and catalog gaps surfaced before customers see them
Detect inventory risk, missing listings, and content quality gaps across thousands of merchants before they affect customer experience and merchant GMV. The right signal goes to the right team, no manual audits required.
Fewer merchants lost in the first 90 days
Track onboarding completion rates, time-to-first-order, and early engagement signals across every new merchant. Surface which ones are at risk of churning before they go quiet, and act early enough to make a difference.
CASE STUDIES
How marketplace teams use Cimba for merchant success

Managed Marketplaces · AI for Merchants
Merchant intelligence at platform scale
How Swiggy monitors and grows a merchant base across hundreds of cities
At platform scale, merchant health can't be managed merchant by merchant. It has to be monitored continuously, with the right signal surfacing to the right team before a merchant goes quiet.
The Challenge
At a platform the size of Swiggy, merchant health is a moving target. Thousands of restaurant partners across hundreds of cities, each with different performance trends, engagement patterns, and churn risks.
Merchant success teams couldn't get ahead of it. Onboarding drop-off was identified weeks after it started. At-risk merchants were flagged only after engagement collapsed. Catalog quality issues were caught by customers before operators.
The bottleneck wasn't effort, it was signal. Too many merchants, too many data points, and no system to surface what actually needed attention.
The Cimba Solution
Swiggy deployed Cimba to give merchant success teams a live, proactive view of their entire merchant base, grounded in production data.
Instead of monitoring dashboards and waiting for problems to surface, teams now get:
- Early warning signals for merchants at risk of churning, before engagement drops
- Onboarding quality tracking: completion rates, time-to-first-order, early health signals
- Catalog and listing quality monitoring across thousands of merchants
- Merchant performance benchmarks by city, category, and merchant type
- Specific recommended actions for each at-risk merchant
Cimba integrates directly with Swiggy's data infrastructure, with row-level security ensuring each team sees only their authorized merchant set, and full audit logs on every query and recommendation.
How They Use Cimba
Merchant success teams use Cimba to stay ahead of the merchant base, not react to it.
- Which new merchants are at risk of churning before their first full month on platform?
- Why is this merchant's GMV declining, and what should we recommend?
- Which merchants in this city have catalog quality issues affecting conversion?
- How does merchant retention compare across onboarding cohorts this quarter?
Merchant health issues surface weeks earlier. Onboarding drop-off is caught in real time. At-risk merchants get proactive outreach before they go quiet.

Swiggy is one of the largest food delivery platforms in the world, operating across 700+ cities in India and connecting millions of customers with restaurant partners.
Swiggy deployed Cimba to give merchant success teams proactive, real-time intelligence across their entire merchant base, from onboarding health to churn risk, governed for enterprise scale.
“We went from reacting to merchant churn to seeing it coming. Cimba surfaces the signal early enough that we can actually do something about it.”
2,200
Users with live merchant intelligence
10
Business units deployed
< 1 week
To launch each new workflow
WORKFLOWS
Merchant workflows built for automation
Merchant onboarding quality
New merchants are most vulnerable in their first weeks on platform. Cimba tracks onboarding completion rates, time-to-first-order, and early engagement signals for every new merchant, surfacing which ones are falling behind and what's causing it before the cohort is lost.
At-risk merchant detection and churn prevention
Merchant churn rarely happens all at once. Cimba monitors the leading indicators, declining GMV, reduced session frequency, lower campaign participation, and flags at-risk merchants early enough for merchant success teams to act before engagement collapses.
Catalog and listing quality at scale
Across thousands of merchants, catalog quality issues compound fast. Cimba continuously monitors menu completeness, image quality, pricing accuracy, and compliance requirements, surfacing specific gaps by merchant before they affect customer conversion.

Merchant health at platform scale
Monitor onboarding health, churn risk, catalog quality, and performance benchmarks across your entire merchant base. The right signal surfaces to the right team, before a merchant goes quiet, misses a target, or falls through the cracks.
MORE WORKFLOWS
Other high-impact use cases
Cimba extends across the full merchant lifecycle, from onboarding funnel analysis to promotional compliance and platform-wide benchmarking.
Merchant performance benchmarking
Compare merchant performance across cohorts, cities, and categories to identify which partners are outperforming their peers, and which need targeted support.
Demand-supply balance
Surface imbalances by geography and time window, and flag capacity shortfalls before peak periods hit.
Promotions compliance and ROI
Track which merchants are participating in campaigns, identify underperformers, and surface which promotions are driving incremental GMV versus subsidizing existing demand.
Onboarding funnel analysis
Identify where new merchants stall in the onboarding funnel, by city, category, and merchant type, and surface the specific interventions that improve time-to-first-order.
Ready for less asking and more doing?
See how Cimba can transform your team's decision-making with consistent, auditable, trusted outcomes.