Challenges in Gen AI Adoption
Personalized Shopping Experience
Consumers increasingly expect personalized engagements and product suggestions, yet many retailers struggle to effectively analyze vast amounts of customer data to deliver these customized experiences.
Inventory Optimization
Retailers often face significant losses due to overstocking or missed sales opportunities due to understocking, stemming from inadequate demand forecasting and inventory management.
Supply Chain Optimization
Inefficient supply chain processes and unpredictable demand fluctuations lead to delayed deliveries and increased operational costs.
Visual Search and Tagging
Retailers are underutilizing the potential of e-commerce through inadequate visual search capabilities and automated product tagging, affecting user experience and operational efficiency.
Transformative Use Cases for Gen AI in Retail
Revolutionize Retail Operations with AI-Powered Solutions Tailored to Your Needs
Personalized Shopping Experience
Innominds harnesses the power of Generative AI to analyze customer purchase histories and browsing behaviors, generating personalized product recommendations based on inferred preferences and past interactions.
Inventory Optimization
Leveraging Generative AI models, Innominds predicts future demand patterns and optimizes inventory levels accordingly, ensuring retailers maintain the right stock levels to meet customer needs while minimizing excess inventory costs.
Supply Chain Optimization
By employing Generative AI algorithms, Innominds anticipates demand fluctuations and optimizes supply chain operations, suggesting efficient routes and minimizing delays, ultimately improving overall supply chain efficiency.
Gen AI in SDLC
- Analyze
- Design
- Development
- Testing
- Launch
Use Variational Autoencoders (VAEs) to analyze large datasets and identify hidden user behavior patterns and preferences.
Generate synthetic data that simulates various customer scenarios and interactions to predict outcomes without real- world testing.
Employ predictive analytics to forecast future retail trends based on historical data and market conditions.
Utilize natural language processing (NLP) to analyze customer feedback and social media data for sentiment and trend analysis.
Implement AI-driven market segmentation to precisely target customer groups and personalize marketing efforts.
Benefits
Deeper insights into customer preferences and behaviors, enabling more tailored product and service offerings.
Enhanced ability to predict market trends, helping retailers stay ahead of the curve and adjust strategies proactively.
Reduced risks associated with new market entries and product launches through predictive modeling of outcomes.
Innominds Gen AI Accelerator
Our Gen AI Accelerator simplifies prompt engineering and offers auto- prompt generation for efficient model interaction. The RAG Accelerator provides pre-built templates and integration capabilities. Additionally, our framework automates training optimization and ensures accurate outputs through robust verification and validation techniques
Prompt Engineering with Auto Prompts
User-friendly interface for prompt engineering, allowing users to easily construct queries and prompts for GenAI models.
Implement auto-prompt generation that suggests relevant prompts based on user input and historical data.
RAG Accelerator
Retrieval Augmented Generator (RAG) accelerator that streamlines the process of building AI-powered applications and interfaces using GenAI.
This accelerator can provide pre-built templates, components, and integration capabilities.
Framework for Optimization of Training/ Fine-tuning
Framework that automates and optimizes the training and fine- tuning of GenAI models.
Implements techniques such as Data preparation, hyperparameter tuning, transfer learning to improve model performance.
Verification & Validation
Evaluate the accuracy and reliability of the generative AI outputs
Implement data management pipelines to verify the outputs that are based on supporting data from the input training dataset.
Assess the quality and consistency of the of the outputs generated
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Social Connect:
"Innominds has been an invaluable partner throughout our journey. It has been instrumental in building and strengthening our integrated app and cloud service offerings, filling the gap of cellular network dead zones. It’s expertise and commitment have made a significant impact on our product's success."
“Innominds is an ideal partner for global enterprises looking for Digital Next initiatives. They transformed our opportunities by providing a platform for us about the size of a laptop. With this technology available we can now disseminate our product around the world with Qualcomm chipsets and 5G connectivity.”
“The Innominds team takes a thoughtful approach to provide continuous innovation to help improve the quality of our application and increase customer satisfaction. Innominds provided dedicated coverage for our deliverables even during the COVID-19. I really appreciate their support and flexibility.”
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"Innominds strong internal discipline and practice standards across their organization enabled LucidAct to build and execute with record speed. No requirement was too small or too big for them, they took all our requirements into their standard process and executed on time."
"A vast number of surgical videos need to be annotated and labeled for physicians. Our ActivSightTM algorithms together with Innominds solutions can annotate a one-hour surgical video in about 10 minutes, helping physicians save lot of time and effort, and make better data-driven decisions."
“Innominds expertise in camera vision, AI and its innovative ideas play a very critical role, perfectly fitting in the Qualcomm’s vision of delivering and enabling the best-of-breed boutique use cases -especially, when it requires a high-level of customization and unique service offerings.”
"Our partnership with Innominds and Qualcomm will ensure surgeons everywhere will have greater access to cutting-edge technology, that’ll enable them to make better-informed decisions with the use of our real-time overlays and clinical insights which minimize surgical errors."
“Innominds is a great partner to work with and in iFusion, we have a recommendation engine based upon customer's past purchasing preferences for products and platforms. This is a great capability that iFusion brings to the platform with its ML capabilities.”
“We learned pretty quickly on, that we had to listen to what they had to say. And we’re about to do that again. They have suggested to us, technology advances, that we didn’t come up with on our own.”
