ADC Consulting ads

Every airline runs safety initiatives. Few can show which ones worked. Most never decided upfront how to measure it. Can you prove which of yours did? Read more here: https://lnkd.in/eraDAMQ4 #safety #measurement #decisionscience

Your airline pricing teams are missing the willingness-to-pay data they need to back up the intuition and snap decisions that drive your pricing playbook today. We designed this Fare Price Calibration as a first step to show how your team's pricing decisions improve by turning your historical data into a logical, explainable signal of which fare moves will have the most impact for your strategy. Check out the landing page for more info: https://lnkd.in/eCEAb7G9 What do you need? 1. Historical shopping-offer-conversion data - history of offers purchased (and not purchased) by customers shopping for flights on your airline 2. Inventory snapshots - adjusts price elasticity against available capacity 3. Filed fare history - compare model recommendations against your historical filed fares In 8 weeks we turn this data from 12 routes into fine tuned insights about your pricing levels with our recognized causal inference methodologies. Our Decision Scientists map out the process with your team so everyone understands each step and has a chance to contribute their expertise to shape the final output. If your curious but have more questions, there's a link to book a call with me on the landing page. Glad to meet and chat, no commitment necessary to get more info.

How confident are you that established elasticity and willingness-to-pay assumptions still provide the right basis for fare decisions in today’s market? For some routes, the evidence may be too limited or conflicting to support and internally defend a targeted fare move. At World Aviation Festival in Lisbon, our team will be meeting airline Pricing, Revenue Management and Data Science leaders facing exactly this challenge. We’ll be sharing our new ADC Fare Pricing Calibration: a focused eight-week engagement that helps airlines assess 12 selected routes using their existing data and systems. It provides a clearer view of: • Where the evidence supports action • Where uncertainty remains • What analysis or testing should happen next If fare-pricing confidence is a live question for your airline, meet our team at World Aviation Festival and hear how ADC Fare Pricing Calibration could help. Bring along a challenge you’re facing and find out more about ADC Fare Pricing Calibration here: https://lnkd.in/dDQJ2uJP/?utm_campaign=Transport%257CFarePricingCalibration2026&utm_source=linkedin&utm_medium=paid&utm_id=1223462093&hsa_acc=518163628&hsa_cam=1223462093&hsa_grp=895367653&hsa_ad=1572262853&hsa_net=linkedin&hsa_ver=3 #WorldAviationFestival #AirlinePricing #RevenueManagement #Aviation

When a pricing analyst decides whether to make a change, there's so much context to balance and hold in their head. To make things even more complicated, decisions today cast a shadow into the future, creating further changes to react to later. Let's take it from the top. A group strategy leader gives a broad directive: increase yields and keep our market share steady Then team managers get into the weeds: stay competitive in these priority markets Data science leads bring data: our forecasts show this directive is impossible without additional investments to stimulate demand Product managers weigh in: keep our new product offers in mind! we need to see sales Operations pleads for mercy: we are at our limits serving this volume of customers already! give us a break! All of these functions have a stake in the pricing decision and the effect it will have on their slice of the organization's success. This context creates a complex landscape of micro decisions and considerations, all held in someone's head who's just trying to do their best to make the right call that keeps the firm's balance sheet healthy and their job feeling rewarding. At ADC Consulting we build decision support systems using causal inference data science that help people in these roles go beyond forecasting to actually answer: what would happen next if I made this decision today? This toolkit of mini-scenario planning to simulate cause and effect offsets part of the mental load with models that answer the ever present "what ifs" to direct attention toward the areas where decision has the most opportunity to make the desired impact. Book a call with me to chat about your journey with decision science: https://lnkd.in/eVVdbzRN If you're in the airline industry, we're offering a well structured Fare Pricing Calibration to show these techniques on 12 routes: https://lnkd.in/eERJHXjS

More data and AI don't automatically produce better decisions or better outcomes. Three key themes around this topic came through particularly strongly in the presentation and conversations with software and aviation leaders at the AGIFORS Revenue Management study group last week. 1. Predicting and optimization is different than modeling causation. 2. Humans must remain in the loop. 3. High quality, verified data is more important now than ever. In this video I share my perspective on these themes and what they mean for decision making. These topics also underpin the ADC Consulting Fare Pricing Calibration offer we've designed on the Transport team. Knowing how important certainty is, we created a focused, eight-week approach across 12 selected routes, designed to show where evidence of market elasticity supports pricing changes, where uncertainty remains, and what should happen next. If your pricing team is asking similar questions about elasticity assumptions, and wants to get "outside of the black box", then book a complementary call with me here: https://lnkd.in/eVVdbzRN

Your pricing analyst has a fare move in mind. Can you defend the decision? Fuel costs, network changes, and customer experience investments create a complex market landscape. The question is whether your established elasticity and willingness-to-pay assumptions still give you the evidence of where to act. When route-level evidence is limited or conflicting, one of the most valuable pieces of information is a good estimate about how customers will react to a price change. That’s why we developed ADC Fare Pricing Calibration. 12 selected routes. Eight weeks. Your existing data and systems. A focused engagement using our causal inference modeling techniques to help you calibrate pricing moves to the current market and your network goals: understand where the evidence supports action, where uncertainty remains, and what should happen next. No new platform. No network-wide replatforming. Start with our complimentary two-week Market Pricing Readiness Check to identify your priority pricing evidence gaps and understand whether deeper analysis could help. If this is a challenge for your Pricing, Revenue Management or Data Science team, book a conversation with me: https://lnkd.in/gTBKCa9x