Campaign Simulation & Calendar
Conduct a comprehensive analysis of historical marketing data to evaluate the effectiveness of various marketing channels, tactics, and influencing factors. This includes examining digital, social, offline, and retail media to understand their individual and combined impact on critical business outcomes such as sales performance, revenue generation, customer acquisition, and conversion rates.
Insights: The goal of MMM is to provide deeper insights into the return on investment (ROI) of various marketing campaigns and help businesses make data-driven decisions about where to allocate their marketing budget for maximum impact.
Seamlessly brings together sales, spend, campaign, and media data into a unified framework, enabling consistent and accurate analysis across sources.
Measures effectiveness across different channels, helping you identify the highest-performing platforms and allocate budgets with confidence.
Uncovers how marketing activities influence sales over time, revealing seasonal patterns, long-term effects, and short-term spikes.
Models the potential impact of budget reallocations, allowing teams to test scenarios and forecast future performance before making decisions.
Goes beyond reporting by prescribing optimal actions, running “what-if” simulations, and continuously learning to improve future outcomes.
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Multimodal AI
9 Min Read
Artificial intelligence has forever been linked to text generation and processing—chatbots, search, and recommend systems all rely heavily on natural language processing (NLP). But the future of AI is not entirely about words. With multimodal AI gaining traction, machines are gaining the capacity to understand and interact with the world in the same way that humans do through a rich combination of text, images, audio, and video. Multimodal AI represents a paradigm shift in the way computers ingest and respond to input, bringing us toward the dawn of genuinely intelligent machines that can recognize the context, tone, and nuance of real-world information.
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AI Agents
6 Min Read
The product development world is being totally transformed. Businesses are looking to artificial intelligence (AI) agents to automate, optimize, and revolutionize product design, engineering, and manufacturing in response to calls for mass customization, accelerated innovation, and sustainability. Besides assisting human engineers, these agents, driven by machine learning, natural language processing, and advanced simulation, are working alongside them to develop product development cycles that are smarter, faster, and more responsive.
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AI Agents
5 Min Read
Generative AI has revolutionized many sectors over the past few years, with retail being among the most important sectors that can gain from its innovations. Through the use of machine learning and neural networks, generative AI can generate content, designs, solutions, and predictions that provide both efficiency and personalization. For retail, these features create new opportunities for businesses to improve their operations, customer experiences, and overall strategy.