Understanding the vehicle buying journey: Shifting from transactional to customer-centric – Automotive Industries
The automotive industry is undergoing a significant transformation, and understanding the vehicle buying journey has become paramount. We are witnessing a shift from transactional to customer-centric strategies, and as Statswork, we have been collaborating closely with select automakers to address the challenges posed by evolving market dynamics, growing eco-friendly vehicle popularity, and heightened competition. This transformation is intrinsically tied to ongoing digital advancements, highlighting the pivotal role of technology in the automotive market’s future.
Statswork extends its expertise across all automotive segments, encompassing passenger vehicles and commercial vehicle OEMs. Leveraging advanced qualitative and quantitative methodologies, we meticulously identify market trends, providing actionable insights to optimize pricing, enhance brand loyalty, and develop effective promotional strategies. Our dedicated team comprises hand-picked consultants, including researchers, analysts, industry experts, implementers, and project managers, all equipped with years of experience in delivering complex projects.
Whether you need help Collecting customer or supplier or historical data or have an existing database, or user-generated content from social media, such as data from Facebook, Twitter, LinkedIn, YouTube, Forums, or speech data collection, image and video data collection, multilingual data collection, handwriting data or natural language utterance data collection, our StatsWork team provide support in collecting any type of data. we collect various types of data in the field to help our clients innovate the future.
Make your data meaningful – the process of data labelling and classification. AI and Machine Learning
We add meaning to data. Our audio, video, image, and text annotation services deliver the valuable information you need for building, training and testing your machine learning algorithms. Our linguistic and international project execution experience allows us to tackle data labelling, analysis and tagging tasks in a wide variety of languages and locations. Our experience includes gesture and facial expressions, semantic annotation of text, sentiment analysis, identification of named entities, speech and background noises, object recognition in image and videos, handwriting analysis and much more.
Analytics have been proven as one of the main tool to stratagies end to end model in manufacturing industries which helps business to stay in track and help small and large buisnesses to achieve their goals effectively.
Statswork analysis helps buisnesses with manufacturing costs, supply chain management, product research and development, In vehicle maintanance using ai, predicitnf maintance checks and analyzing manufacturing parts for better ROI
Deep learning refers to a set of important areas such as image classification, object detection, computer vision, image segmentation and audio recognition. These specific models or algorithms can be used in any part of the industries which can upscale the business to a new level.
With our deep learning engineers and machine learning engineers we will deliver, high-quality of trained models and solutions that is crated to your request which enables your buisness to achieve the goal that has been set.
Acquire market intelligence via specialized primary research, perform qualitative & quantitative via interviews, community studies, trend analysis, validate primary intelligence with exhaustive secondary desk research data, analyse market intelligence data to develop a robust solution and key messaging.
Automotive market research to understand market size, growth, key trends, and competitive forces. Competitive assessment on R&D strategy, product pipeline, technology roadmap, and product life cycle management, prelaunch assessment to understand pricing & brand perception. Target customer-based market forecasts for new & existing products
Identification of new markets, technologies, distribution networks, potential partners, & marketing channels. Analyse market research (penetration and share) for products and pursue the most appropriate strategy.
