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Convert clients more easily with a proposal that is scored out of 10, ranked, and explained.
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Here are your clients ranked by IT sector exposure. ANITA DESAI has zero tech allocation, a clean slate for a fresh recommendation. PRIYA MENON and KAVITA RAO are under 3% each, so all four analysed clients are significantly underweight technology and worth a call.
Want me to prepare a portfolio proposal showing tech-focused funds for any of them?
Sorted by IT allocation %, lowest first. Prioritise near-zero for tech outreach.
| Client | Tech exposure | Total portfolio | Tech % |
|---|---|---|---|
| ANITA DESAI | ₹0 | ₹3.6 K | 0.00% |
| PRIYA MENON | ₹8.2 K | ₹4.58 L | 1.78% |
| KAVITA RAO | ₹10.5 K | ₹4.15 L | 2.52% |
| SURESH NAIR | ₹8.40 L | ₹29.07 L | 28.90% |
HDFC Flexi Cap takes the top spot with a score of 7.6, ranked #1 out of 94 flexi-cap funds. It leads on both 3-year and 5-year returns (16.27% and 17.99% CAGR respectively), with a standout 5-year alpha of +5.56% over the Nifty 500.
Parag Parikh (score 7.0, #2) remains the largest in the category at ₹1.41 lakh crore AUM but has lagged recently, posting -1.24% over the past year. Quant Flexi Cap (score 5.1, #11) delivered the best 1-year return at 12.38% but carries higher volatility and a concentrated portfolio of just 26 stocks.
The analysis for Suresh Nair is ready, you'll see the summary card on the right with fund-level scoring, overlap detection, and concentration insights.
Overall portfolio score is 5.9/10. The portfolio holds 18 funds across 6 AMCs (over-diversified). 61.11% of AUM is in funds outperforming their benchmark, 0% underperforming. Top sector is Financial Services at 23.9%. 5 critical fund overlaps detected (≥50% common holdings).
Evaluates how well the portfolio performs across diversification, market comparison, sector allocation, and fund overlap.
The onboarding form is now open, just enter the client's mobile number and PAN card photo to get started.
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Take the client through every KYC field one screen at a time: mobile, PAN photo, personal details, documents, declarations, DigiLocker / e-Sign, bank, and nominee.
ZIVA plays the client. You practise the pitch, then get scored on what actually landed.
The advisor addressed the client's concerns but struggled with clarity and confidence. The conversation had potential but missed key opportunities for deeper engagement.
The family's small-cap exposure spans 50 stocks across their fund holdings. Top names are MTAR Technologies (₹4.31L), Sai Life Sciences (₹3.12L), and Ather Energy (₹3.11L). Full breakdown on the right, sorted by exposure value.
Pulled a year of monthly NAVs for all 21 unique funds plus the benchmark. The family averaged +1.25% a month against the Nifty 500's +0.94%. Suresh runs slightly hotter than Kavita, and both track the index closely on the way down.
Kavita captures 111.7% of the upside but 93.7% of the downside, so she is carrying more risk than the family as a whole. The consolidated book takes 90% of the up months and only 77.3% of the down months, which is the healthier shape.
Look-through small-cap holdings across all family fund investments.
| Stock | Sector | Exposure |
|---|---|---|
| MTAR Technologies | Capital Goods | ₹4.31 L |
| Sai Life Sciences | Healthcare | ₹3.12 L |
| Ather Energy | Automobile | ₹3.11 L |
| AstraZeneca Pharma | Healthcare | ₹2.58 L |
| Aditya Infotech | Technology | ₹2.44 L |
Monthly return % across four series · Nifty 500 as benchmark.
Capture ratio vs Nifty 500 over 12 months. The dashed line is the 100% benchmark.
Lower downside capture means the portfolio fell less than the benchmark in bad months. Higher upside capture means it gained more in good ones.
Convert clients more easily with a proposal that is scored out of 10, ranked, and explained.
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proposals generated
portfolios analysed
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When ZIVA ranks a fund it names the parameters that moved the number, so you can defend the recommendation in the room instead of pointing at a black box.
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