is one of the largest travel sellers of escorted tours, cruises, river cruises, and active vacations in the United States and we send travelers all around the world on their dream vacation by offering low prices and providing the highest quality customer service with our award winning service team.

“At our customers have a compelling incentive to pick up the phone and call us. We diligently work to offer them low prices on travel packages helping them see and experience new wonders. For our business to thrive and to offer even lower prices we need to find efficiencies everywhere possible. With our global presence we regularly ran into issues having unbalanced resourcing to handle customer call volumes. Some days we had too many agents and other days we had too few which would create inconsistent customer experiences, increased our missed call rates and operating costs. By using Amazon Forecast we are now able to anticipate customer demand call volumes to ensure we have the right number of agents each day improving our missed call rate by approximately 20%."

Marc Rosenthal, Senior Project Manager,

Axiom Telecom

Axiom Telecom

Axiom Telecom is the market leader in telecommunications in Mobile Handset and Technology distribution in the Middle East region with a market share of around 55% and an aspiration to grow above 60%. Today, it distributes telecom products to over 10,000 independent and organized retail customers. The company's operations merge wholesale, retail, value added services, and after-sales of wireless mobile devices such as Nokia, Honor, Sony Ericsson, Motorola, and Samsung. The group has 30 warehouses and a fleet of more than 300 distribution vehicles.

“Amazon Forecast has allowed us to accurately predict sales and deliver better inventory planning. It is a real win not only for us and our business but also for our customers. Prior to using Amazon Forecast, we heavily relied on a combination of statistical models and manual processes to forecast sales and inventory management. This required a significant resource allocation of time and people to maintain these manual forecasts but also left room for error. With Amazon Forecast we have seen over a 20% increase in demonstrated availability and 15% in stock optimization. Furthermore, we have shifted our teams that were doing manual forecasts to now focus on more value added efforts of extracting insights from the new forecasts to help improve our business outcomes.”

Wassim Al Khayat - Group Director of Technology and Innovation



CasaOne offers a one-stop, cost-effective furniture rental/leasing solution with design guidance, seamless project management and a white-glove moving, delivery, and installation experience.

“At CasaOne, we make sure our customers get access to their furniture in a few business days. In order to better predict how many couches CasaOne customers might rent in the Bay Area or how many coffee tables customers might rent in NY, we leverage the capabilities of Amazon Forecast. With Amazon Forecast, our sales prediction accuracy has improved by 20% compared to our existing forecasting algorithm. This means we can stock the right products and save on purchase costs worth a few thousand dollars. Improved product selection will also lead to enhanced customer experience in the long run."

Madhusudan Kagwad, Co-founder and Head of Products - CasaOne 



Heroleads is Southeast Asia's leading performance marketing company who provides clients with an integrated end-to-end solution that is tailored to their marketing needs and maximizes MROI.

“Our media planner team spends over 60% of their time on building and maintaining manual forecast models, supporting the Sales & Operation Team to understand the performance trends of various digital marketing channels and industries and to plan how we achieve KPIs. By integrating Amazon Forecast, we will free up the team to focus on more value-added work, expand the reach of our models to be used by other teams and improve our forecast model accuracy to 99%. Using Forecast increases our ability to better serve our customers and increases the confidence within our team through faster insights, improved predictability, performance alerting systems, dynamic budget planning and more accurate investment models to ensure all our marketing campaign KPIs are met efficiently and at the right time."

Amit Das, Lead Data Engineer - Heroleads



OMOTOR helps businesses improve through AI by providing them with the best of machine learning algorithms, computer vision techniques and cognitive bots that can communicate via WhatsApp and others platforms.

"At OMOTOR, we use AI to innovate on behalf of our customers, so access to the most cutting-edge deep learning technologies from AWS is imperative to our client's success. Using Amazon Forecast gives us the ability to create and refine various forecasts from time series data without having to build and train a model manually every time. We forecast real sales for the next 12 months, so we can adequately plan for inventory, estimate future profitability, track market share gain or loss, and other insights. This means we can use more contextual data, optimize more frequently, generate forecasts with upwards of 50% improvements in accuracy, and operate at a great speed. For example, we're helping customers in the automotive industry predict sales across 185 vehicles in Brazil.”

Marcio Rodrigues, CEO - OMOTOR



OMNYS provides ground-breaking solutions, by designing and building Digital Platforms based on System Integration, Web & Mobile Technologies, IoT, Machine Learning and Big Data. Throughout learning of ultimate technologies, R&D, analysis of market needs OMNYS brings innovation to many industries.

“Amazon Forecast is helping us bring new insights and business value for our client Arneg S.p.A., a global leader in refrigerator manufacturing collecting about 11 million IoT records daily. Using Amazon Forecast, within hours we were able to start building models that would have traditionally taken weeks or months. Our client simply wanted us to extract value from their raw data and with Amazon Forecast we were able to do much more. We built up models to predict energy consumption three days in advance for their refrigerators installed in malls around the world, with a 91% accuracy, and maintenance predictive models to better assess the risk of devices outage, at least up to one day in advance, and consequently reducing the number of emergency calls from their clients. The potential for our client to take these insights to improve how they manage their customer experience is limitless."

Davide Pozza, CTO - OMNYS 

Planalytics, Inc.

Planalytics, Inc.

Planalytics, Inc. is the global leader in Business Weather Intelligence®, delivering comprehensive weather analytics to help organizations make stronger business decisions. Through advanced weather analysis technologies, planning and optimization solutions and industry-specific expertise, Planalytics helps companies accurately assess and measure weather-driven impacts and effectively manage the never-ending variability of weather.

"At Planalytics, we don't take our market leadership position for granted and are always looking for tools and techniques that improve our analyses. Using Amazon Forecast, we are able to quickly and effectively quantify the forecast improvement we bring to our most advanced clients over the use of raw weather data. The quantification has been a game-changer for Planalytics, enabling us to prove real ROI to our customers."

Derron Simon, Chief Operating Officer - Planalytics

Puget Sound Energy

Puget Sound Energy

Puget Sound Energy (PSE) is the state’s largest utility, supporting 1.1 million electric customers and 825,000 natural gas customers in communities in 10 Washington counties.

“At PSE, we’ve used Amazon Forecast to forecast electric and gas consumption at a typical residence. We found that even with a very limited set of historical consumption and weather data, Amazon Forecast performed very well at forecasting 30 days out with virtually no manual effort. With the increased emphasis on environmentally-friendly energy solutions, the ability to produce more accurate energy usage projections at each of our customers’ homes and businesses will be essential for energy service providers like PSE. With these enhanced analytical capabilities, PSE will be able to identify custom energy saving programs and services, ultimately reducing customer bills.” 

Paul Johnson, Sr. Cloud Architect - PSE 

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