Managed Marketplaces
Two-sided platforms where the operator — not the market — controls pricing, quality standards, and the transaction on both sides.
Agentic Intelligence for Marketplace Operators
While your team is buried in dashboards trying to figure out what happened, Cimba is already telling them what to do next — surfacing the merchant at risk of churn, the SKU about to stock out, the delivery zone slipping below SLA.
Every AM always performing like your best AM
Give every account manager real-time merchant intelligence and next-best-action recommendations — so every partner conversation drives growth, not just reports it.
Inventory intelligence that acts, not just alerts
Continuously monitor demand signals, SKU velocity, and supplier patterns to surface specific reorder and reallocation recommendations — before stock-outs reach customers.
Delivery ops built to anticipate, not just react
Watch order flow, courier capacity, and zone-level SLA risk in real time — and surface the specific action to take before the breach happens, not after.
CASE STUDIES
How Managed Marketplaces Use Cimba
Managed Marketplaces
Every AM, Performing Like Your Best AM
How Swiggy Closed the Performance Gap Across 2,200 Account Managers
The best account managers close the loop fast — they spot the merchant whose orders are slipping, know which promotion will work, and act before the partner asks. Most can't. Cimba changed that ratio.
2,200
AMs with real-time merchant intelligence
10
Business units deployed
< 1 week
To launch each new workflow
The Challenge
Account managers at marketplace platforms are effectively quota-carrying — but their ability to hit GMV targets depends on insights they don't control. Each AM manages 50–100 restaurant partners and is expected to diagnose performance issues, identify growth opportunities, and act on them in real time.
The problem: every meaningful insight requires analyst support. Why did this merchant's orders drop? Which promotion works for this restaurant type? How does this partner compare to similar merchants in the same city? The answers take days. The partner conversation happens today.
The result is a predictable performance gap. The best AMs develop workarounds. The rest leave GMV on the table — and the gap between top and average performers widens as the merchant base scales.
The Cimba Solution
Swiggy deployed Cimba's AI for AM agent, giving every account manager a real-time agentic command center grounded in live production data.
Instead of queuing analyst requests, every AM can now instantly surface:
- Why a merchant's GMV is declining — and the specific action to reverse it
- Which promotions drove the highest ROI for comparable merchants in the same zone
- Next-best-action recommendations tailored to each partner's situation
- Performance benchmarks against similar merchants by city and category
- Menu and campaign opportunities before the partner has to ask
Cimba integrates directly with Swiggy's data infrastructure, with row-level security ensuring each AM sees only their own merchant book — and full audit logs on every query and recommendation.
How They Use Cimba
Account managers use Cimba to arrive at every partner conversation already knowing what needs to change — and why. Check-ins become growth sessions.
- Why is this merchant's GMV down this week — and what should I recommend?
- Which promotion would drive the most incremental orders for this restaurant type?
- How does this partner compare to top performers in this category?
- What's the next best action for a merchant who missed targets last month?
Partner conversations shift from reactive status updates to proactive growth decisions — with every AM performing closer to the top of the distribution.
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 close the performance gap across their account management organization — giving every AM the intelligence of their best AM, grounded in live production data and governed for enterprise scale.
“Our AMs used to spend the first half of every partner meeting figuring out what happened. Now they walk in knowing exactly what to do next — and the merchant can see it in their results.”
WORKFLOWS
Marketplace Workflows Built for Automation
Account managers hitting GMV and quota
Your account managers each handle 50–100 merchants. The best ones close the loop fast — they spot the restaurant whose orders are slipping, know which promotion will work, and act before the partner asks. Cimba gives every AM an agentic command center that proactively surfaces which merchants need attention, why GMV is moving, and the specific next best action to take.
Inventory managers preventing stock-outs
Stock-outs cost marketplaces twice — lost sales today, lost trust tomorrow. Cimba continuously monitors demand signals, supplier patterns, and SKU velocity to recommend the specific reorder, reallocation, or substitution before the stock-out hits the customer — with the logic and confidence level behind each recommendation.
Delivery operations that anticipate the surge
Delivery ops live in a constant state of reaction. Cimba runs as an agentic command center underneath your delivery operation, continuously watching order flow, courier capacity, zone-level performance, and SLA risk — surfacing what's about to break and recommending the specific action before the SLA is missed.
Marketplace fulfillment operations
Monitor fulfillment SLA performance centrally and at the city and zone level in real time. Teams identify stress events, investigate late-night surges, and run root cause analysis on SLA breaches—without waiting for analyst support. Whether tracking delivery partner attrition trends or diagnosing why a zone missed its promised SLA, answers surface instantly from live operational data.
MORE WORKFLOWS
Other high-impact use cases
Cimba extends across finance, ops, and go-to-market—wherever teams need governed, repeatable intelligence.
Merchant health & churn prevention
Proactively identify at-risk merchants by analyzing performance trends, engagement signals, and health scores.
Demand-supply balance
Surface imbalances by geography and time window, and flag capacity shortfalls before peak periods hit.
Seller & merchant onboarding quality
Monitor onboarding completion rates and early engagement signals to identify which new merchants are at risk of churning in their first weeks on the platform.
Promotions ROI analysis
Surface which promotions are driving incremental orders versus subsidizing demand that would have happened anyway — by merchant type, zone, and campaign.
Ready for less asking and more doing?
See how Cimba can transform your team's decision-making with consistent, auditable, trusted outcomes.