Synelia / Our work / Orange Côte d’Ivoire · Orange Burkina

ORANGE · CÔTE D’IVOIRE & BURKINA FASO

OMER: managing distribution
in near real time.

A management platform for Mobile Money and Airtime activity, built on big data and machine learning, for managers and players across the distribution chain.

Client
Orange Côte d’Ivoire · Orange Burkina
Country
Côte d’Ivoire · Burkina Faso
Industry
Telecoms · Mobile Money
Expertise
Data · AI · software
omer · distribution overview
Preview of the OMER application
Illustration · fictitious data

THE CONTEXT

Thousands of points of sale, activity that changes by the hour.

Mobile Money and Airtime distribution relies on a network of distributors and points of sale. An e-value stock-out or an inactive point of sale means lost revenue, often without anyone noticing in time.

Orange Côte d’Ivoire and Orange Burkina entrusted Synelia with designing OMER to give everyone, from the field to senior management, a reliable and actionable view of the activity.

THE CHALLENGES

Three objectives
to deliver together.

See

A consolidated view of activity by network, by area and by distributor.

Anticipate

Predict stock-outs and point-of-sale inactivity before they happen.

Act

Recommend actions to field sales staff and measure their impact.

OUR RESPONSE

What we
built.

Hourly monitoring

Reports generated automatically every hour and emailed to the teams.

Point-of-sale scoring

A model ranks Mobile Money and Airtime points of sale by performance.

Stock-out prediction

Prediction of stock-outs and inactivity, estimation of thresholds and stock-out duration.

Recommendations for sales staff

Actions automatically proposed to field teams, real-time tracking and impact indicators.

Geolocation

Point-of-sale mapping, targets broken down by sales area, remote top-up orders.

Secure access

Secure partner access to interfaces, field access on mobile devices.

ARCHITECTURE

How
it’s built.

01UsesFrom the field to senior management
DashboardsHourly email reportsField applicationTop-up orders
02IntelligenceMachine learning
Point-of-sale scoringClassificationStock-out predictionSegmentation
03ProcessingReliable, historised data
Collection and ETLOperational data store (ODS)Data warehouseData marts
04SourcesDistribution data
Mobile Money transactionsAirtime salesBalances and subscriptionsComplaintsGeolocation

WHAT THE PROJECT DELIVERS

Results
in production.

2 countriesCôte d’Ivoire and Burkina Faso
Near real timeActivity tracked hour by hour
Big data & MLScoring, segmentation and prediction
From the field to senior managementOne shared view for all stakeholders

WHAT COMES NEXT, WE BUILD TOGETHER

A similar project?
Let’s talk.

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