Retail’s Future,
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Empower your retail strategy with data)driven insights. Personalize experiences, boost sales, and predict trends seamlessly.
The Need for Data Analytics in Retail
Increasingly complex supply and distribution chains, plus constant pressure to contain cost and reduce margins, has driven the need for data analytics in retail to look at enterprise-wide signals more rigorously than before. Margins are thin, and competition is fierce. Every decision the company makes affects current and future performance.
Analytics helps run your retail business more efficiently and transformed the bricks and mortar and e-commerce landscapes.
Services
Factors contributing to growing demand
Acceptance of an Omni channel or multichannel retailing strategy.
Expanding need to improve end-user experience and capitalize on market dynamics.
Growing amount of data in the retail industry.
Optimizing inventory and ensuring on-shelf availability of products.
How you can use Analytics to optimise your retail business
In retail, margins are thin, and competition is fierce. Every decision the company makes affects current and future performance.
How Analytics
can help
Analytics helps run your retail business more efficiently and transformed the bricks and mortar and e-commerce landscapes.
How Neostats Can Help
Key Areas in Retail where Neostats’ Data Analytics can optimise the process
Changing Customer Needs
Due Rapidly changing demographics retailor
seeks to understand which product services
and offers are most attractive while the
customer continuous to alter their preference
Understand Your Customer Better
Techniques like Customer segmentation,
audience profiling and customer journey mapping
can give better insights into your customers
preferences and improve customer satisfaction.
Pricing and Profitability Management
Margin improvement remains a daunting task,
especially in an inflationary cycle, when
disposable income is under strain, constant
load shedding has caused reduction in
volume and currency depreciation is adding to
the issue.
Better sales and margins
Automated data collection and reporting, will lead
to better understanding of stock supply , store
behavior, market trends and demand pattern. This
in turn will also allow for improved marketing ROI.
Supply chain disruptions
The COVID-19 pandemic has disrupted supply
chains globally, impacting the availability of
goods and causing delays in delivery. with
store closures and reduced footfall leading to
lower sales
Resilient Supply Chain
Incorporate information from entire supply chains
– suppliers and the broader industry – making
your own supply chain more resilient.
Fierce Competition in the Retail Space
Retail operates in a highly competitive market,
with both traditional retailers and online
retailers vying for market share. With the entry
of global players like Amazon and Walmart in
the Indian market, the competition has
intensified further
Retail MI creates clarity across multiple depts.
Create a single source of truth that keeps
everyone on the same page, and helps employees
across the board maintain focus on the bigger
picture.
Solutions Offered
1. Retail MI Tool to visualize and report all important retail KPIs in one central interface
and turn this collected data into actionable insights
Promotional Campaign Overview
Enable businesses to come up with the right promotion strategy to improve awareness, footfall, revenue, reach and referrals.
Top KPIs
- Overall Sales with and without promotion,
- Customer Footfall
- Average basket size with and without promotions
Department and Product Overview
Deep dive into department and product performance
Top KPIs
- Store Health & Performance
- Which are the top and bottom selling categories during promotions ?
- Cross selling and upselling categories
- Internal Benchmarking
- Target vs Actuals
Smart Store Analysis
We further provide a store level analysis, which helps retailers to enable targeted promotions and increase sales.
Top Use cases
- Impact of external factors on store performancÏ
- Store assortment
- Customer foot fall
Customer Analysis
Solution deep divers in to customer demographics to observe potential customer personas
Top Use cases
- Which income group respond well to which category of promotions ?
- Target audience: Targeting the right customer segments for better promotion effectiveness
2. Advanced Analytics Solutions to better understand customer needs , predict
demand and make the right products available at the right place and the right price.
Customer Analytics
Neostats’ cutting edge customer analytics harness AI, machine learning, and deep data engineering to help retailers understand customer behavior at a granular level, enabling hyper-personalized experiences that drive engagement and loyalty.
Top Use Cases
- Behavioral Segmentation: Identify unique customer segments to deliver personalized offers and experiences.
- Churn Prediction: Proactively reduce churn by predicting which customers are likely to leave and why.
- Targeted Campaigns: Increase the effectiveness of marketing efforts with data-driven, highly targeted customer outreach.
Sales Analytics
Our sales analytics solutions deliver actionable insights through AI and predictive modeling, helping you improve forecasting, optimize pricing, and increase revenue growth while staying ahead of market trends.
Top Use Cases
- Sales Forecasting: Anticipate future demand patterns to streamline inventory and maximize sales.
- Price Optimization: Implement dynamic pricing models to react quickly to market shifts and consumer demand.
- Promotion Performance: Measure and refine promotional campaigns to maximize ROI and reduce wasted spend.
In Store Analysis
Neostats offers top of the line AI driven in- store analytics. By using sophisticated data modeling and real-time tracking, you can optimize store layouts, reduce operational bottlenecks, and create better shopping experiences that increase both footfall and conversion.
Top Use Cases
- Foot Traffic Analysis: Use data to analyze shopper movement and optimize store layouts for increased sales.
- Heatmaps & Dwell Time: Understand customer interaction with product displays to enhance in-store engagement.
- Checkout Optimization: Reduce wait times and enhance the checkout experience with predictive queue management.
Supply Chain Analytics
At Neostats, we use our advanced analytics solutions to enable retailers to gain real-time insights across the entire supply chain, improving forecasting accuracy, reducing stockouts, and optimizing overall efficiency. With data-driven decision-making, retailers can reduce costs and increase fulfillment speed.
Top Use Cases
- Inventory Planning: Leverage predictive analytics to manage stock levels efficiently and reduce excess inventory
- Demand Forecasting: Predict and prepare for changes in demand using AI-powered models
- Supplier Performance Monitoring: Track and improve supplier performance by analyzing lead times, quality, and delivery.
3. Smart Search: Transforming Information Discovery with AI-Powered Precision
Neostats’ Smart Search revolutionizes product discovery and retail decision-making with cutting-edge Generative
AI, powered by Retrieval-Augmented Generation (RAG). Say goodbye to endless search results and irrelevant
data—Smart Search provides precise, context-driven answers to your most complex retail questions.
Imagine asking about current inventory levels, product trends, or customer preferences, and receiving clear, data-
backed insights instantly. By blending real-time data retrieval from your retail databases with advanced AI models,
Smart Search delivers concise, actionable information that helps you stay ahead in a fast-paced industry.
Enhance product discovery, streamline operations, and make informed business decisions with Smart Search—your
retail-specific, intelligent search solution.
4. Smart Chatbot: Transforming Customer Engagement and Sales Support in Retail
Neostats’ Smart Chatbot is the next-generation AI solution designed to enhance customer interactions in the retail
sector. Built with advanced natural language processing, our Smart Chatbot delivers personalized, human-like
conversations that improve the customer experience at every touchpoint.
Gone are the days of generic bot responses—Smart Chatbot understands complex product inquiries, offers
tailored shopping assistance, and guides customers through the buying journey in real time. From answering
questions about product availability and order tracking to recommending complementary products, Smart Chatbot
enhances sales support and customer satisfaction.
For e-commerce platforms, in-store kiosks, or mobile apps, Smart Chatbot seamlessly integrates across multiple
channels, ensuring a consistent experience that adapts to each customer’s needs. It continuously learns from every
interaction, optimizing responses and improving sales conversions.
5. BrochureGen: AI-Driven Brochure Creation for Retail Marketing
Neostats’ BrochureGen transforms how retail businesses create and present their marketing materials. With its AI-
powered design capabilities, BrochureGen automates the creation of beautiful, responsive brochures that
perfectly align with your retail brand and product offerings.
No more design bottlenecks—simply input your product details, promotions, and branding, and BrochureGen
generates a polished, professional brochure in seconds. Whether you’re showcasing seasonal sales, new arrivals, or
exclusive product lines, BrochureGen ensures your marketing materials are always on-brand and visually striking.
For retail businesses across sectors like fashion, electronics, or home goods, BrochureGen saves time and
resources by streamlining brochure creation. The AI tailors layouts to your specific products, creating
personalized, mobile-optimized designs that capture customer attention and drive sales.
