Mutual Funds Sales Intelligence — Cubot BI
Solution

Sales Intelligence
for Asset Managers

The mutual fund industry is entering a new era of growth — expanding investor bases, rising SIP volumes, and increasingly distributed sales networks. The organizations that pull ahead will be those that can see their business clearly, act on it quickly, and run their operations on data rather than instinct.

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Live KPIs — tracked natively
AUM
Assets Under Management
Scheme-wise, branch-wise, and RM-wise — in one view
SIP
SIP Growth & Registrations
New registrations, renewals, and trend analysis by period
RM
RM Performance
Individual and branch-level sales metrics, ranked and trended
NET
Net Flows
Inflows vs redemptions — by scheme, channel, and region
INV
Investor Activity
Acquisition, dormancy, retention, and lifecycle tracking
MIS
Automated MIS
Daily, weekly, monthly — generated and distributed without manual effort
Capabilities

Built for how asset managers operate

From scheme performance to RM productivity to investor behaviour — a unified intelligence layer across the full distribution and operations stack.

RM & Branch Performance
Individual RM dashboards with sales targets, achievement rates, AUM contribution, and productivity benchmarks — across branches and regions without manual collation.
AUM & Scheme Analytics
Scheme-wise AUM tracking with trend alerts, performance band analysis, and comparative views across periods. Drill from portfolio totals to individual fund and investor level.
SIP Intelligence
SIP registration trends, renewal rates, average ticket sizes, and cancellation patterns. Track the health of the SIP book across schemes, channels, and time.
Investor Lifecycle
Map investors from acquisition through dormancy and redemption. Identify at-risk investors before they exit, and spot cross-sell opportunities in the existing base.
Automated MIS & Reporting
Daily, weekly, and monthly MIS generated and distributed automatically across branches and channels — replacing manual report preparation and email workflows.
Executive Dashboards
Role-based dashboards for senior management — from regional heads to CXOs. Full portfolio view with drill-down access, without dependence on analyst-prepared reports.
The Next Era

Built for what comes next

The mutual fund industry is at an inflection point. SIP penetration is rising. Investor demographics are shifting. Distribution is becoming more digital and more distributed. The organizations that will lead this next phase are those with the data infrastructure to see the opportunity before their competitors do.

A scalable, governed analytics platform is not a back-office tool — it is a growth engine. Knowing which RMs are underperforming before the quarter closes, which schemes are losing flows to competitors, and which investor segments are most likely to expand — these are competitive advantages.

Platform Capabilities
Sales visibility
RM → Branch → Region
AUM granularity
Scheme → Investor
SIP analytics depth
Registration to renewal
Investor intelligence
Lifecycle tracking
MIS automation
Zero manual effort
On roadmap
360° RM View
Full relationship intelligence — investor history, product affinity, retention signals, and next-best-action prompts per RM.
Predictive Investor Scoring
Propensity models for SIP upgrade, scheme switch, and redemption risk — surfaced at the point of engagement.
Problem → Solution

Addressing the operational gaps

Area Operational Issue What the Platform Does
Sales MIS Delayed report preparation across branches and channels. Finance teams spending days on manual consolidation. Automated MIS generation scheduled and distributed across branches — daily, weekly, monthly — without manual preparation.
RM Visibility No real-time view of individual RM performance. Branch managers relying on periodic summaries. Live dashboards tracking each RM's sales, AUM contribution, and productivity against targets — drillable to transaction level.
Investor Flows Redemption trends and SIP drop-offs only visible after the fact. No early warning capability. Investor lifecycle tracking with behavioural trend analysis — flags at-risk accounts before they deteriorate.
Data Silos Operational data fragmented across transaction systems, CRM, and spreadsheets. No single version of truth. Integrated data model unifying all operational and transactional sources into one governed analytics layer.
Executive Reporting Leadership dependent on analyst-prepared slide decks. Limited ability to drill into underlying data. Self-service dashboards for senior management — drill from national portfolio to individual scheme or branch on demand.
How It Works

From transaction data to sales intelligence

01
Connect Source Systems
Transaction platforms, CRM, and branch data ingested and unified automatically.
02
Build the Data Model
Investor, scheme, and RM data structured into a clean, governed analytics model.
03
Compute KPIs
AUM, SIP trends, net flows, RM rankings, and investor lifecycle metrics calculated on schedule.
04
Deliver Intelligence
Dashboards and automated MIS surfaced to every level of the organisation — in real time.