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Nexxio Intelligence

Distribution that thinks 30 days ahead.

40+ dealer labels refreshed weekly. Rep Copilot ranks every visit. Dealers order on WhatsApp in Hindi. Admins chat with their reports in plain English — all live in production today.

See it live → WhatsApp automation
Churn risk · highToday, 7:00 AM

Gupta Distributors — Lucknow

Order frequency (45 days)↓ 32%
Payment cycle+11 days
Scheme redemption↓ 41%
Recommended save actionReady
How Nexxio Intelligence works

From signal to prediction to action.

01 — SIGNAL

Every transaction is a data point

Orders, visits, payments, scans and WhatsApp messages across reps, dealers and influencers — one data layer, no silos.

02 — PREDICTION

Models watch what humans miss

Churn risk, next-order dates, visit priorities and label-driven alerts surface automatically — before they hit your P&L.

03 — ACTION

Delivered where work happens

An NSM alert, a rep's pre-visit brief, a dealer's WhatsApp thread. Not another dashboard nobody opens.

01 · Rep Copilot

Every visit ranked. Every dealer briefed.

Visit prioritization

Scoring weights rank today's beat — high-value, at-risk and overdue dealers surface first.

LLM dealer insights

Before each visit, Copilot generates a plain-language brief from order history, labels and graph data.

Label-driven flags

Churn risk, dormant SKUs and visit gaps from the Labels Engine appear inline — no separate dashboard.

Sales trend context

Graph data shows trajectory per dealer so reps lead with evidence, not guesswork.

9:41●●●
Today's beat
12 visits · ranked
RK
1
Gupta DistributorsChurn risk · 32d since order
94
2
Sharma HardwareHigh visit · low order
87
3
Patel SanitaryNext order due · 3 days
81
9:41●●●
Dealer brief
Gupta Distributors
GD
Copilot insightOrder frequency down 32% over 45 days. Lead with Monsoon Bonanza — last scheme redemption was 41% below territory avg. Confirm payment terms before upsell.
churn_riskscheme_hunter
9:41●●●
Active labels
3 flags
Churn risk · highOrder gap + payment delay detected
Dormant SKUsAqua Tank 1000L · no order in 60d
Visit pattern4 visits · 1 order this month
9:41●●●
Sales trend
Last 6 months
₹4.2L → ₹2.9LMonthly order value · declining
30 sec

from opening the beat list to a visit-ready brief — powered by /copilot APIs and live dealer graph data.

02 · Labels & Churn Radar

40+ signals. Refreshed weekly.

Dealer Labels Engine

40+ rule-based labels — churn risk, dormant SKUs, visit/order patterns, scheme behaviour — batch-refreshed on cron.

Churn Radar alerts

High-risk dealers surface in NSM dashboards with order frequency, payment cycle and redemption signals.

Next-order predictions

Statistical next_order_date labels flag dealers due to reorder — reps and managers act before the gap widens.

Alerts & nudges

Inactive dealers, high-visit-low-order and churn-risk nudges route to the right manager with a recommended action.

7:00●●●
Label batch
Weekly refresh
2,847 dealers processedchurn_risk · dormant_sku · visit_gap
312 labels updatedLast run · Sunday 02:00 IST
7:00●●●
Churn Radar
12 flagged today
Gupta Distributors — LucknowOrder freq ↓32% · Payment +11d
Sharma Hardware — Kanpur4 visits · 0 orders this month
7:00●●●
Next order due
This week
1
Patel SanitaryProbable order · Thu
78%
2
Mehta PipesProbable order · Fri
71%
7:00●●●
NSM alert
Assigned
Gupta DistributorsChurn save playbook · Rep: Rajesh K.
Recommended actionSchedule visit within 48h. Lead with Monsoon Bonanza scheme.
40+

dealer labels computed from real order, visit, payment and scheme data — not a black-box ML slide deck.

03 · Report & Analytics AI

Ask your data. Get charts back.

Analytics Chat

Admins type plain English — NL→SQL runs against your warehouse and returns answers with conversation history.

Auto-generated charts

Query results render as charts automatically — no BI tool export, no analyst queue.

Report AI Summary

DSR and CL/JP reports get Groq-powered executive summaries on download — the headline in 10 seconds.

Report Chat

Chat with any downloaded report — full ingest, then NL→MongoDB Q&A on the actual numbers inside.

11:20●●●
Analytics Chat
Admin
Top 5 territories by order value last month?
11:20●●●
Result
Auto chart
UP West · ₹2.4Cr
11:20●●●
DSR Report
AI Summary
Week of 3 Jun — headlineOrder value up 8% vs prior week. UP West led growth; 3 reps below visit target. Churn-risk dealers need manager follow-up.
11:20●●●
Report Chat
CL/JP Report
Which JP had highest scheme redemption?
AnswerKanpur JP — 41% redemption rate, ₹12.4L scheme value applied.
NL→SQL

for admin analytics and report Q&A — powered by /analytics and reporting-service AI modules.

Full stack

Eight AI systems. All live today.

Every product below maps to production code in ai_service and reporting-service — not roadmap slides.

Guide

Rep Copilot

Visit prioritization, LLM dealer briefs and graph context — ready before every beat.

Label

Dealer Labels Engine

40+ rule-based labels — churn risk, dormant SKUs, visit gaps — refreshed weekly on cron.

Predict

Churn Radar

Order frequency, payment cycles and scheme behaviour flagged early — with NSM alerts and save playbooks.

Forecast

Order Forecast

Statistical next-order date and probability labels — so reps chase dealers before the reorder window closes.

Automate

Nexxio Assistant

WhatsApp voice & text in Hindi, Hinglish and English. 15+ intents: balance, invoice, schemes, place order, product search.

Query

God Mode

Dealer-scoped natural language → SQL on WhatsApp for open questions beyond fixed intents.

Analytics

Analytics Chat

Admin NL→SQL with auto charts and conversation history — ask distribution questions in plain English.

Reports

Report Intelligence

AI summaries on DSR & CL/JP downloads plus report chat — Q&A on the actual report data.

WhatsApp automation

Your channel lives on WhatsApp. Now your platform does too.

Indian distribution runs on WhatsApp — so Nexxio made it a first-class channel, not a workaround. Dealers order, track and redeem without installing anything. No competitor has built this properly.

What changes
40+

dealer labels refreshed weekly from real order, visit and payment data.

15+

WhatsApp intents — voice, order, balance, schemes, invoices and more.

3 layers

of AI — field copilot, labels & alerts, analytics & report intelligence.

0 bolt-ons

Every system runs on the same distribution data layer you already use.

See your distribution think ahead.

Book a demo → Talk to expert