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Home»Kenya»Kenya Airways Deploys AI Pricing System for Airfares
Kenya

Kenya Airways Deploys AI Pricing System for Airfares

Ghana NewsBy Ghana NewsMay 20, 2026No Comments3 Mins Read0 Views
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Kenya Airways has introduced a new AI-driven pricing platform aimed at improving how the airline adjusts fares across its network, as carriers face growing pressure to respond faster to demand changes and pricing competition.

The airline said on Tuesday that it had integrated Jupiter 5.0, a pricing and revenue management system developed by FlyNava Technologies, into its commercial operations. The platform is designed to help pricing teams process market data more quickly, simulate fare scenarios before rollout, and reduce delays between analysis and execution.

Kenya Airways executives said the move is intended to improve fare consistency for passengers while tightening internal oversight on pricing decisions.

Hellen Mathuka, the airline’s Chief Strategy and Innovation Officer, said the system would allow the carrier to respond to changing market conditions with greater speed while maintaining operational control.

“Jupiter 5.0 will help us manage pricing complexity with both speed and discipline,” she said.

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The airline operates flights to 42 destinations globally, including 33 routes within Africa. Pricing has become increasingly important for regional carriers as airlines compete for passengers navigating fluctuating travel demand, fuel costs, and currency pressures.

Rather than relying on fragmented pricing workflows, the new system combines market monitoring, scenario testing, approval processes, and execution within a single platform. Kenya Airways said that structure is expected to shorten turnaround times when fares need adjustment and improve traceability in pricing decisions.

Jackson Kamande, Head of Pricing and Revenue Management at Kenya Airways, said the platform links pricing insight directly to implementation, allowing the airline to maintain consistency while moving faster in active markets.

Revenue Manager Pricing Triza Bomett said the technology also gives teams visibility into the likely impact of pricing decisions before changes are released into the market.

The rollout reflects a wider trend in aviation, where airlines are increasing investment in automation and machine learning tools to improve revenue forecasting and pricing precision without expanding operational overheads.

FlyNava Technologies said the platform uses AI and machine learning models to support pricing decisions and execution workflows. The company is backed by IdeaSpring Capital and supported through Amazon Web Services infrastructure.

Mahesh Shastry, the company’s founder and chief executive, said Kenya Airways selected the platform after a broader evaluation process focused on pricing speed, governance, and revenue performance.

Kenya Airways did not disclose the financial terms of the deployment or the timeline for full operational integration.

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