NiftyBot - Enrich Telecom Data with Advanced AI

Plans, towers, and tickets all move together.

NiftyBot scores churn, recommends save offers, triages outages, and prioritizes 5G buildouts from your signals plus public patterns. Retention rises while network drama falls.

Complexity: Medium

5G Small-Cell Prioritization

Build the right pole, not just another pole. This call scores candidate small-cell sites for T-Mobile and estimates payback months. Capex points at demand, not guesses.

REQUEST


{ "source": { "carrier": "T-Mobile", "city": "Denver", "candidate_sites": ["LoDo 18th & Blake", "RiNo 35th & Blake", "Cherry Creek 1st & Clayton"], "current_dropped_call_rate_pct": { "LoDo": 1.9, "RiNo": 1.3, "CherryCreek": 0.7 }, "foot_traffic_index": { "LoDo": 88, "RiNo": 73, "CherryCreek": 65 } }, "requests": [ { "field_name": "site_priority_ranking" }, { "field_name": "estimated_payback_months", "field_type": "numeric" } ] }

RESPONSE


{ "enrichments": [ { "field_name": "site_priority_ranking", "value": ["LoDo 18th & Blake", "RiNo 35th & Blake", "Cherry Creek 1st & Clayton"], "confidence": 0.8, "method": "assessment", "reasoning": "Higher drop rate + top foot traffic yields the strongest coverage and revenue impact." }, { "field_name": "estimated_payback_months", "value": 14, "confidence": 0.72, "method": "estimation", "reasoning": "Incremental ARPU from reduced churn and higher throughput vs small-cell deployment cost." } ] }

Complexity: High

Outage Impact & Mitigation

When sectors drop, minutes matter. This call estimates AT&T’s outage blast radius across a small cell cluster and gives the fastest mitigation move. Users feel a blip, not a blackout.

REQUEST


{ "source": { "carrier": "AT&T", "market": "Dallas", "affected_cells": ["Cell-DFW-172A", "Cell-DFW-172B", "Cell-DFW-173A"], "error_rate": 0.21, "top_apps": ["/voice", "/maps", "/video"] }, "requests": [ { "field_name": "impact_estimate" }, { "field_name": "mitigation_step" } ] }

RESPONSE


{ "enrichments": [ { "field_name": "impact_estimate", "value": "Voice and navigation degraded for ~14–18 percent of market traffic; video fallback to lower bitrates.", "confidence": 0.77, "method": "assessment", "reasoning": "Cluster geography and traffic mix infer partial coverage loss with QoE downgrades." }, { "field_name": "mitigation_step", "value": "Raise transmit power on adjacent cells 3dB and enable temporary carrier aggregation; schedule field team for sector swap.", "confidence": 0.74, "method": "reasoning", "reasoning": "Boosts coverage overlap immediately while a physical swap addresses root cause." } ] }

Complexity: Medium

Postpaid Churn Save

Churn is predictable when you watch the right signals. This call grades a Verizon account’s churn risk and proposes a save offer and 90-day ROI. Retention teams act before the cancel click.

REQUEST


{ "source": { "carrier": "Verizon", "plan_type": "Postpaid Unlimited", "lines": 4, "contract_months_remaining": 2, "usage_shift_last30_pct": -18, "support_tickets_30d": 3, "port_out_signals": ["IMEI checks with competitor"] }, "requests": [ { "field_name": "churn_risk", "field_type": "categorical", "instructions": "Return one of: Low, Medium, High" }, { "field_name": "save_offer" }, { "field_name": "projected_90d_roi_usd", "field_type": "numeric" } ] }

RESPONSE


{ "enrichments": [ { "field_name": "churn_risk", "value": "High", "confidence": 0.88, "method": "classification", "reasoning": "Usage decline + tickets + port-out signals are strong predictors of near-term churn." }, { "field_name": "save_offer", "value": "One-time $120 bill credit + free device upgrade eligibility on primary line with 12-month commitment.", "confidence": 0.8, "method": "reasoning", "reasoning": "Combines immediate relief with a commitment hook without over-discounting all lines." }, { "field_name": "projected_90d_roi_usd", "value": 278, "confidence": 0.74, "method": "calculation", "reasoning": "Retention value of four lines net of credit and upgrade subsidy over three billing cycles." } ] }