The intelligence layer for fragmented commerce

Capture, structure and activate real-world retail signals across fragmented markets.

Designed for incomplete fragmented, real-world data.

Data Ingestion

Capture retail signals where they already exist - WhatsApp-first, offline-first multimodal engine (voice + image AI) conversations, spreadsheets, voice notes, and field level reporting.

WhatsApp-first, offline-first multimodal engine (voice + image AI) Chat Layer

Capture messages and voice notes through conversational UI.

Excel Parsing Engine

Automated ingestion of merchant spreadsheets and CSV files.

Structured API access

Normalize market intelligence for internal tool and analytics systems

Data Ingestion Active
Live Connection
Listening for sales signals...

Data Normalization

Fragmented retail data is messy. We turn thousands of inconsistent inputs into a unified, structured intelligence layer.

Cleaning Process

Raw Input"Noodls 70g... Ibadan"
Cleaned Output{ sku: 'Instant Noodles (70g)', loc: 'Ibadan North' }
Normalization Engine
Running (v2.1)
Raw Signal Input
"Noodls 70g... Ibadan"Unstructured

Pyper Bot

The intelligent conversational layer. Ask questions about your market in plain English and get data-driven answers instantly.

"Pyper Bot, which areas in Lagos are facing high stock-out risk for 70g SKUs today?"

Powered by proprietary market LLMs

Pyper Bot AI Layer
Agent Online
Ask Pyper Bot...

Predictive Output

No more historical dashboards. Naimexi delivers predictive, proactive recommendations you can act on today.

Demand

Forecasting

Action

Playbooks

Predictive Forecast Engine
Actively Projecting
Historical SalesPredictive Output
Calculating local demand forecasts...