Supply Chain Disruptions
Supply chain’s dire challenges are severely hindering retail businesses’ bottom line, throwing forecasts and plans into disarray. There is a high need for digital supply chain against disruptions.
Retail
Stay ahead with technology trends with an ever evolving market & constantly changing customer patterns.
With technology, we can solve severe challenges in the industry by enabling hyper personalization across several areas of next-generation retail.
Overview
With the rise of e-commerce & omnichannel platforms, complexity around supply chain and customer behavior is rapidly increasing. With technology, Veltris can help organizations respond to new trends accurately and lead them to adapting the next-generation retail.
Some of the initial steps are:
- Increasing Customer Engagement
- Encouraging Employee Empowerment
- Optimizing the overall Operations
- Redesigning Products & Services
Market trends
AI-based Personalized Product Recommendations
Retailers need real-time personalization for the betterment of the website visitors and prospective customers.
Metaverse and gamification of shopping
Virtual fittings work by overlaying an item on a customer on their live photo/video where they can validate the size, style & fit without even touching the product.
Hybrid and omnichannel customer journeys
Retailers that can connect their personnel and retail stores to digital commerce in real time can significantly increase conversion rates by combining in-store and digital or online shopping experience.
RPA Driven Retail Operations
Along with adopting innovative practices to attract and engage more customers, newer technologies along with inventory, logistics and order fullfillment is gaining a growth momentum to counter various challenges.
Challenges
Who we serve
At Veltris, we focus on driving efficiency and empowering your business with Retail Tech Solutions. We help Brick and Mortar stores, Wholesalers and Distributors, e-Commerce and Retail tech to support operations end-to-end
E-Commerce
For the complex technology of e-Commerce, we develop & manage your website while improving your back-end technology, security, and maintenance needs.
The major e-Commerce business models are
- Business to Consumer (B2C)
- Business to Business (B2B)
- Business to Government (B2G)
- Business to Business to Consumer (B2B2C)
- Consumer to Consumer (C2C)
- Consumer to Business (C2B)
Retail Tech
At Veltris, we are a team who is equipped with expertise in AI, software, mobile telecommunications, apps and even IoT to support your retail operations end-to-end.
We serve the following segments:
- QR Codes
- RFID Technology
- Augmented Reality
- NFTs
- Smart Checkout
- Store Management
Wholesalers and Distributors
Helping retailers and wholesalers revamp themselves through immersive technologies such as Big Data analytics, Artificial Intelligence & Automation technologies.
We serve the following:
- Manufacturer & Pure Wholesalers
- Retail Wholesalers
- Agents and Brokers
- General Merchandise & Speciality Wholesalers
- International Wholesalers
- Limited Function Wholesalers
Brick and Mortar Stores
Helping retailers stand out by helping them leverage comprehensive retail solutions, technology & store analytics to achieve higher customer satisfaction and retention.
We serve the following segments:
- Convenience Stores
- Groceries
- Speciality Stores
- Department Stores
What we serve
With the help of Design, an environment can be created that can influence sales & profitability. Factors like efficiency, sustainability, brand image and global trends can be optimized to maximize ROI with strategic Design process.
We serve the following segments:
- Augmented promotions
- Retail Aggregator Platforms
- Loyalty Application
- AI Predictive Systems
- Mobile Commerce
- Mall Navigation Systems
Digital Transformations can help integrate a futuristic approach in high level customer engagement. Along with technology adoption, it will improve the overall cost and profitability advantages.
We serve the following segments:
- Price optimization
- Personalized Marketing
- Fraud detection in Retail
- Implementing Augmented Reality
- Merchandising
- Location of New Store
- Inventory Management
- Customer Sentiment Analysis
- Recommendation System
- Demand Prediction
- Trends Forecasting
- Customer Identification
Data Engineering
Data can be used by retail businesses to optimize pricing, supply chain, and improve customer loyalty. Large volume of Data can unveil patterns & trends related to human behavior and tendencies.
Big Data
Big Data in Retail Industry help retailers in predicting the demands of customers, personalizing the experience of customers, and most importantly, it helps retailers in improving their operational efficiency.
Data Science
Processing data in real time enables all parts of the retail value chain to see the status of operations without delay and make better-informed decisions, thereby optimizing business workflows and boost revenue
Business Intelligence
The use of business intelligence (BI) tools helps organize, analyze and contextualize business data. And, with reports, performance measures and company trends, it enables informed decision making in the present day.
Machine Learning
Artificial Intelligence has been transforming the Retail industry by increasing efficiency, accuracy & speed. We help retailers leverage the power of AI by providing expertise in all the phases of AI initiatives, from ideas to execution: from definition of opportunities in an AI Roadmap, up until implementation in production, iteration and improvements.
Deep Learning
Sentiment analysis, emotion detection, visual search, personalization, and recommendations are all use cases where deep learning can add huge amounts of value. Intelligent task automation, support for demand forecasting, and better resource allocation are other areas where AI and deep learning can impact operating models for retailers.
NLP
NLP helps the unstructured text data into a standardization form. This enables the search results to be swifter and with utmost precision. NLP has strengthened the interactions with the search engines that allowed the queries to be assessed faster and in an efficient manner.
Computer Vision
Computer vision is among the leading innovations in the retail industry. It combines several technologies like AI and image recognition systems to track what is happening in a store.
With the competition getting fiercer in omnichannel commerce, Retail industry as to transition to next-gen mobile & e-commerce. Automated systems, self-run stores, and IoT around these is contribution to this transition.
Retail industry is emerging, and adopting immersive technologies everyday. Advanced network capabilities are connecting the loose ends across the entire ecosystem so that real-time data & digital experience can be personalized.
What we serve
With the help of Design, an environment can be created that can influence sales & profitability. Factors like efficiency, sustainability, brand image and global trends can be optimized to maximize ROI with strategic Design process.
We serve the following segments:
- Augmented promotions
- Retail Aggregator Platforms
- Loyalty Application
- AI Predictive Systems
- Mobile Commerce
- Mall Navigation Systems
Digital Transformations can help integrate a futuristic approach in high level customer engagement. Along with technology adoption, it will improve the overall cost and profitability advantages.
We serve the following segments:
- Price optimization
- Personalized Marketing
- Fraud detection in Retail
- Implementing Augmented Reality
- Merchandising
- Location of New Store
- Inventory Management
- Customer Sentiment Analysis
- Recommendation System
- Demand Prediction
- Trends Forecasting
- Customer Identification
Data Engineering
Data can be used by retail businesses to optimize pricing, supply chain, and improve customer loyalty. Large volume of Data can unveil patterns & trends related to human behavior and tendencies.
Big Data
Big Data in Retail Industry help retailers in predicting the demands of customers, personalizing the experience of customers, and most importantly, it helps retailers in improving their operational efficiency.
Data Science
Processing data in real time enables all parts of the retail value chain to see the status of operations without delay and make better-informed decisions, thereby optimizing business workflows and boost revenue
Business Intelligence
The use of business intelligence (BI) tools helps organize, analyze and contextualize business data. And, with reports, performance measures and company trends, it enables informed decision making in the present day.
Machine Learning
Artificial Intelligence has been transforming the Retail industry by increasing efficiency, accuracy & speed. We help retailers leverage the power of AI by providing expertise in all the phases of AI initiatives, from ideas to execution: from definition of opportunities in an AI Roadmap, up until implementation in production, iteration and improvements.
Deep Learning
Sentiment analysis, emotion detection, visual search, personalization, and recommendations are all use cases where deep learning can add huge amounts of value. Intelligent task automation, support for demand forecasting, and better resource allocation are other areas where AI and deep learning can impact operating models for retailers.
NLP
NLP helps the unstructured text data into a standardization form. This enables the search results to be swifter and with utmost precision. NLP has strengthened the interactions with the search engines that allowed the queries to be assessed faster and in an efficient manner.
Computer Vision
Computer vision is among the leading innovations in the retail industry. It combines several technologies like AI and image recognition systems to track what is happening in a store.
With the competition getting fiercer in omnichannel commerce, Retail industry as to transition to next-gen mobile & e-commerce. Automated systems, self-run stores, and IoT around these is contribution to this transition.
Retail industry is emerging, and adopting immersive technologies everyday. Advanced network capabilities are connecting the loose ends across the entire ecosystem so that real-time data & digital experience can be personalized.
