Sales and marketing analytics for smarter insights
                     Driving 6.4% 
Sales Growth 
within 15 days
Transforming Sales for One of India’s 
Premier Homeware Brands
About the Client
India's premier homeware manufacturer, Borosil 
has been setting industry standards for over five 
decades. Known for their innovative glassware, 
kitchenware, and consumer products, they serve 
millions of households while commanding 
significant market share in the premium segment. 


Their extensive distribution network spans across 
India, supported by a dedicated sales force 
managing relationships with thousands of 
retailers.
The Challenge With an extensive catalog of 900+ products and a vast 
network of retailers, Borosil's sales team faced a critical 
The hardest market to sell in is India due to challenge: how to maximize every customer interaction 
the sheer amount of diversity found in with personalized product recommendations. The 
every block. From languages to culture, 
everything changes from city to city. complexity of their product range made it nearly 
impossible for sales representatives to optimize their 
pitches for each store.
However, the first shop itself consumed 
an hour of his time as the manager was 
busy tending operations and customers
Meet Narayan Not being able to filter out the right 
A sales rep targeting to 
cover six shops today products led to a trial-and-error 
approach that wasted time. Relying on 
gut feeling didn’t cut it
Sales Rep
Narayan's frustration was palpable. 
Tailoring his recommendations for every 
single shop with limited time became 
increasingly difficult
No real-time visibility into rep activity 
visits, outcomes, or time spent per 
account
Meet Amit
A Sales Head overseeing 12 Data analysis remains a time-intensive 
field reps across 3 regions task, often taking hours to uncover even 
basic insights.
Sales Head
Forecasting becomes guesswork when 
field data is incomplete or outdated
Pain Points
Information Overload Time Management Missed Opportunities
Sales representatives Excessive time spent Inability to spot cross-selling 
struggled to master details researching which products and upselling possibilities
of 900+ SKUs to pitch to each store
Inefficient Territory No access to data Delay in insights
Planning Sales reps operate in silos Analyzing rep-level performance 
Difficulty in prioritizing due to lack of real-time data data takes too long, delaying 
store visits for maximum access and system timely action and feedback.
impact integration.
Our Solution
9:41
Smart Product Matching: 

By analyzing historical data, NavAI identifies the most promising 
products for each store, considering factors like past sales, store 
demographics, and seasonal trends.
Automated Recommendations: 

Sales representatives receive personalized WhatsApp messages 
with store-specific product recommendations, enabling focused 
and effective pitches.
Performance Analytics: 

Regional managers gain access to detailed performance 
dashboards, helping them identify coaching opportunities and 
optimize territory management.
Which sales reps haven’t pitched cookware bundles in the last 2 
NavAI in action - Sales Head 9w:4e1eks, and how many store visits did they miss it in?
Reps who haven’t pitched cookware bundles in the past 2 weeks
Let’s say a Sales Head notices that sales for 
Missed Pitches by Rep
cookware bundles have dropped in key retail 08
zones this month.
 06
04
He wants to know which sales reps haven’t been 02
actively pitching these bundles in their recent store 0%
Anuj Meera Karan Tanya Faisal
visits. 
 Sales Reps
Estimated lost revenue: ₹3.2L across 5 zones
Instead of waiting for hours on a data analysis 
report, he simply asks his question to NavAI 

NavAI returns data + charts in seconds

Shares insight with teams to address issues.
Number of Missed Pitches
01
NavAI in action - Sales Rep Narayan stepped into the first shop and pitched the recommended products. As 
those were the exact products out of stock, he was able to close deals quickly 
Our AI sales assistant analyzes past sales without much to and fro. The manager placed the order and Narayan was free to visit the next shop
and discrete factors to forecast the exact 
products that will be in demand.
02
After completing three shops within two In the second shop, the manager greeted Narayan and asked for a stock of 5 
hours, Narayan covered eight shops for the microwaves. Narayan rechecked the recommendations from our AI assistant 
and the microwave was the first one on the list
day, 33% higher than his target.
03
With two shops down, Narayan visited the third one. He pitched toasters based 
on the recommendations of our AI assistant. However, to his surprise, the 
manager claimed there was no need for toasters. Upon a little nudge, the manager 
checked his stock and found toasters to be out of stock. He immediately placed 
an order for 12 toasters.
04
Our AI sales assistant finds hidden trends and patterns that are usually 
overlooked by humans. It provides hyper-personalized upselling opportunities 
that are impossible to detect by both sales reps and retailers.
Key Outcomes
6.4% increase in Higher conversion Enhanced data-
overall sales rates on product driven decision 
recommendations making at all levels
Optimised & Improved sales team Democratize data 
efficient store confidence and access to all levels of 
visits productivity employees
Enterprise-grade data security with industry-standard protection measures
We’re excited to partner with you and show how NavAI Priyanka Rungta

accelerates your AI journey—combining predictive intelligence, Director, Navsoft & NavAI
operational agility, and real-time decision-making. With services [email protected]
like data warehousing, structuring, and integration, NavAI lays 
the foundation to make your business truly AI-ready.
An AI First Company
 Chandresh Rai

www.navsoft.ai Product Manager, NavAI
[email protected]
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