Digital Retail Solutions
Reshaping Retail Through
Insights & Personalization
Overcoming Retail's Biggest Challenges
High Operational Cost
- Inefficient Inventory Management
- Frequent Changes in Production Schedules
- Inability to Foresee Customers' Demands
Inefficient Stores
- Unforeseen Equipment Failures
- No Visibility into Customers' Preferences
- Unable to Understand Buying Habits
Dissatisfied Customers
- Poor Customer Support
- Lack of Critical Customer Recommendations
- Absence of Systematic Loyalty Program
Inapt Targeting & Sales
- Unable to Form Buying Patterns
- Difficult to Create Profitable Monetization Plan
- Generic Customer Targeting Methods
Explore Digital Retail Solutions
Driving business growth, enhancing the customer experience, and building loyalty.
Personalization & Real-time Recommendations
Key Benefits
Automate the customer experience with a 360-degree omni-channel view, AI, and an actionable monetization strategy. Connect your omni-channel data for tailored ads and offers to unlock effective targeting and increased efficiency.
Technical Capabilities
Real-time Insights into Customer Behavior and Preferences
Get real-time insights into customer behavior and preferences. AI-enabled systems can analyse customer data across online and offline platforms to identify what content resonates with customers, track sales patterns in different channels, identify opportunities for cross-selling or upsells, and detect emerging customer trends.
AI-based Customer and Market Analysis
Analyse large datasets such as customer reviews or sales data to identify patterns and trends in customer behavior. Understand markets by forecasting demand for products, analyzing competitors’ actions, or predicting upcoming industry trends.
Personalization & Real-time Recommendations​ Trends
54% of retail marketers are using AI-driven personalization across channels to drive growth in their business.
80% of consumers are more likely to make a purchase when the brand offers a personalized experience.
30% of outselling of counterparts by companies invest in online personalization.
41% of customers desire a consistent & personalized shopping experience from one channel to the next.
Intelligent Conversation Agents
Employ natural language as the primary medium to personalize customer experience that is fast, helpful, and always available to them.
Key Benefits
Increase customer satisfaction and retain customers with speedy support services and personalized buying experiences
Automate queries to reduce wait times and create a positive customer experience
Technical Capabilities
Predictive and Personalized Assistance
Leveraging AI to provide automated support can help customers get the information they need quickly and without having to wait for help from an agent. Businesses can predict what customers are looking for and be better prepared to provide them with assistance when needed using customer data for personalized interaction.
Chatbots
Natural Language Processing (NLP) technology can enable businesses to create chatbot systems that simulate human conversations, helping customers find what they need more quickly and easily.
Intelligent Conversation Agents Trends
80% of businesses have implemented some sort of chatbot automation to make their experience smooth.
Around a 30% CAGR is projected in the chatbot market size from $2.6B to $9.4B by 2024.
In the upcoming years, 47% of organizations will use chatbots for customer care, and 40% will deploy virtual assistants.
30% cost reduction realized by organizations using chatbots for customer support interaction.
Customer Loyalty
Key Benefits
Enhance customer satisfaction and retention with timely, relevant recommendations. create a systematic loyalty program to incentivize returning customers and increase your business opportunities with additional sales.
Technical Capabilities
Predictive Analytics for Omnichannel Loyalty
Determine which offers or rewards would be most appealing to specific customers. And, employing AI-powered chatbots to provide personalized customer service and support through all of the available channels.
AI-powered In-store Experience
Analyze customer behavior to tailor offerings accordingly. This can range from personalized offers or discounts to digital displays that are tailored specifically for certain customers.
Customer Loyalty Trends
70% of product marketers already prioritize experiences that facilitate loyalty and retention.
In recent years, global IT spending in retail has surpassed the $225B mark.
71% of all omnichannel loyalty programs reported +50% increased revenues over previous years.
84% of retailers currently offer some type of loyalty experience.
Demand Forecasting
Key Benefits
Reduce inventory carrying costs with improved stock management and forecasting of customer demand
Streamline production schedules, expedite transfers and shipments for optimal distribution
Technical Capabilities
Data and AI for Accurate Store Inventory Management
By using predictive analytics and machine learning, retailers can understand customer behavior patterns in real-time and take proactive steps to ensure optimal inventory levels. AI technologies help automate processes such as forecasting demand and identifying when an item needs to be restocked or removed from the shelves. By utilizing these tools, stores can quickly respond to changes in demand without overstocking or understocking their shelves, leading to improved profits and customer satisfaction.
Using AI and Data to Enhance Retail Logistics
By leveraging predictive analytics and machine learning models, businesses can proactively anticipate changes and make informed decisions and effectively manage their stock. Additionally, these processes can help automate transfer requests between stores in different locations, ensuring that any extra stock is moved to meet customer demand swiftly. This helps to avoid stocking limitations as well as improves profits and customer satisfaction by delivering on time with the right product quantity.
Demand Forecasting Trends
2029 is the projected year by which it will be unacceptable to create waste from a supply chain.
70% of retailers indicate that AI and Machine Learning will be their top technology choices for forecasting and demand planning.
Organizations experienced a 30% reduction in inventory through the use of a demand-driven supply chain.
Leading retailers achieved 93% accuracy while forecasting.
Inventory Optimization
Delivering the ability to analyze historical sales data, market trends, lead times, supplier performance for accurate inventory forecasts and optimal inventory levels.
Providing valuable insights into inventory performance, identifying slow-moving or excess inventory.
Using the power of AI to improve supply chain efficiency and customer experience and satisfaction.
Key Benefits
Technical Capabilities
AI/ML based Inventory ManagementÂ
Boost business resilience by quickly responding to disruptions and intelligently selecting alternatives for supply shortages.
Intelligent & Connected Demand Planning
Respond to changing demand with machine learning, connected processes, and increased visibility across sales and operations planning (S&OP), forecasting, supply, replenishment, and inventory functions.
Real-time Orders and Shipments Tracking
Optimize logistics processes with visibility into goods in transit, notify stakeholders about deviations, and monitor fulfillment.
Inventory Optimization Trends
60% of consumers are more likely to become repeat buyers after a personalized shopping experience with a retailer.
57% of retailers use artificial intelligence (AI) to optimize inventory management.
Using Big Data Analytics in the retail industry can increase operating margins by up to 60%.
Research showed that 47% of the respondents say that can significantly enhance and impact their inventory management and optimization.
Store Efficiency, Automation & Safety
Key Benefits
Unlock predictive maintenance, analyze real-time consumer preferences, and track customer search and buying habits for optimal efficiency.
Technical Capabilities
Real-time In-store Equipment Analytics
Track and oversee multiple in-store equipment and overall equipment effectiveness (OEE) with the help of the Internet of Things (IoT) and sensor data.
AI-powered In-store Experience
Analyze customer behavior to tailor offerings accordingly. This can range from personalized offers or discounts to digital displays that are tailored specifically for certain customers.
Real-time Insights into Customer Behavior and Preferences
AI-enabled systems can analyse customer data across online and offline platforms to identify what content resonates with customers, track sales patterns in different channels, identify opportunities for cross-selling or upsells, and detect emerging customer trends.
Store Efficiency, Automation & Safety Trends
27% of shoppers are likely to go to a competitor’s store if a product is out of stock.
More than 50% value store pick-up options for online purchases.
63% of all the stock shortages are due to fluctuating demand and regulations from the pandemic.
Around 50% of consumers support regulations that keep both shoppers and employees safe.
Industry Scenarios
Generating Business Value Across Industries
Enterprise solutions that provide real-time, actionable insights.
To understand the business performance across regions, the COO looks for the common department and business scenarios such as inventory performance, warehouse operating expenses, shipping time, and more.
Retail Manufacturing Data Analytics report enables organizations to use powerful tools and a data-driven approach to make intelligent decisions. It allows businesses to analyze and follow up on progress and study consumer behaviors.
CMO is seeking information to understand the business performance across key regions and comprehend the best GTM tactics to lead into the campaign and strive for better ROI among multiple demographic groups progressing towards better future campaigns.
The CFO is looking to comprehend the business performance across the key countries and regions. This particular demo presents usual finance department business scenarios explaining revenue growth and profitability, planning, analysis, and expense management.
The purpose-built insights solution for call center insights enables useful information delivery to the right individuals, assisting in performance improvement in usual call center operations. This solution keeps track of all the important information, including dates, times, and durations of all the steps, and mitigates any potential risks, including dropped calls, increasing resource requirements, and more. Furthermore, the solution covers agent-level insights such as periodic performances, additional support provision, business assistance, and more.
This report provides an aerial view of the available opportunities in the company. The Sales Pipeline report will assist the managers in finding out the right information, such as in which city, region, or year the opportunities have been won or lost, and find probable reasons behind it. Also, detailed CRM reports like these can be used for multiple industries where CRMs have been deployed to manage sales.
See How Organizations Are Innovating
+4x Increase in marketing agility by reducing time-to-market for recommendation models
Situation
Online fashion retailer ASOS had two intermeshed goals: to craft one data model solution where there would have been three, and to give its data science teams a satisfying, productivity-boosting collaboration model.
Solution
Impact​
Situation
E-commerce customers often struggle to find personalized fashion recommendations online, leading to a less-than-ideal shopping experience. This can result in lost sales and a decline in customer satisfaction.
Solution
To address this challenge, we proposed a solution to modernize the e-commerce customer shopping experience by introducing an AI-powered shopping assistant chatbot. This chatbot uses advanced algorithms to analyze customer preferences and provides real-time personalized fashion recommendations, creating a more engaging and interactive shopping experience for online customers.
Impact​
Through this solution, the e-commerce company boosted online sales by proactively catering to changing customer tastes and identifying trends through the data gathered by the chatbot. Moreover, customers benefited from an improved shopping experience, increasing satisfaction and loyalty. The AI-powered shopping assistant chatbot helped modernize the e-commerce customer shopping experience and created a more personalized and engaging environment for online shoppers.
Instant insights of fruit and vegetable availability status on shelves
Situation
Solution
Impact​
+200% revenue vs. expectation in new store locations selected using Azure ML
Situation
Solution
Impact​
+40% improvement in prediction accuracy in a pilot of over 700 retail stores
Situation
Solution
Impact​
Reduction of variance from 5% to 2.9% and $10M increase in revenue
Situation
Solution
We implemented a Kalido Information Engine, a powerful data integration, and an MDM tool. This helped the retailer identify the critical factors that contributed to the issue, relative sales volumes, and associated delivery latency. We used the data warehouse solution for an analytical solution, allowing clarity about Open and Voided reasons.
Impact​
