Our main value proposition is to deliver valuable and cost-effective solutions to our clients.
Our b.ret.AIL Platform combines data from multiple sources to Increase customers engagement using technologies like Face Recognition and Automated Suggestions. bCDP Platform offers insigths into skyrocketing customer expectations for product assortment, experience, and delivery, to help you navigate through the tough competition. .
Our b.ret.AIL Platform allows you to find patterns in your historical data and digs deeper to predict trends and seasonal changes. Forecast demand for your products. Create a pricing strategy to beat competitors. Helps you tailor recommendations based on what a customer has looked at or bought or the promotions they’re most likely to buy.
Use our b.VIS Platform to recognize goods to control their availability for on-time stock replenishment. Use biometrics and face recognition to spot suspicious activity. Customer segmentation, Assortment optimization, Real-time personalization, Inventory optimization, and Risk management are some of the other add-on value.
With our b.ret.AIL Platform engage with your customers with personalized messaging. Analyze customer behaviour, send more personalized offers and increase your sales. Improve your conversion rate with more relevant recommendations. Create the most personalized experience for your customers.
With our b.ret.AIL Platform make decisions relying on Data-Driven Insights and Predictive Analytics. Make the production process automated with a lightweight “on the edge” ML models and quickly analyze historical data on variables like consumer preferences, product location, and sales season.
One of the leading benefits of artificial intelligence, is helping humans with routine, time-consuming tasks. Our b.BOT AI assistants for retail helps them save money on their workforce and enhances customer service, saves money, and draws new consumers.
Bridgeme Technologies
Need to customize b.ret.AIL Platform to fit your unique customer analytics and engagement needs? We’ve got you covered!
b.ret.AIL is a unified system that brings together an entirely new depth of customer understanding with the speed of action to optimize experiences in real-time solution powered by analytics and customer behavior to determine and deliver the best customer experience. Monitor performance changes over time and proactively surface important trends in your metrics. Set and track progress to a target metric, add critical context as notes throughout the Dashboard, and more customize the layout of any report.
Our b.bot serve the purpose of customer engagement, customer support, and in-house operations optimization. They are able to:
Need to customize b.BOT Platform to fit your unique customer engagement needs? We’ve got you covered!
b.BOT is continuously trained and improved with NLP and provides the customer to gain industry-related knowledge,saving time and effort as it can easily mine through omnichannel platforms and absorb the intents of users. It provides dynamic results. The b.BOT is continuously trained on new content, grammar, the intent of the user, vocabulary, document analysis, machine translations, and more. .
Bridgeme Technologies
We help to bootstrap AI capabilities, or fill AIML, data and analytics gaps for companies that do not have the expertise internally or do not want to hire new talent until the benefits of AIML are proven.
We focus not only on research, but also on delivering end-to-end solutions starting with solution design and ending with deployment of ML-model and integration into the existing or newly developed client environment.
We deploy the following team to carry out a feasibility study (to really validate the idea), followed by development -
AI Architects to manage the entire project across the business units, DataOps, MLOps, and the extended engineering team.
ML Engineers build, deploy, and scale the model for production readiness and an ongoing feedback loop.
Data Scientists & Engineers focus on data integration, modeling, optimization, and quality. They oversee and handpick the suitable datasets and algorithms to build the model with the team of ML Engineers.
QA Team tests the model and ensures that development standards are maintained and customer expectations are exceeded.