Boosting buy box percentage on Amazon using analytics | Central Books Online (CBO)

Boosting buy box percentage on Amazon using analytics | Central Books Online (CBO)

Education portal and online bookstore Central Books Online offers a wide selection of textbooks, reference books, study material for competitive exams, novels, stationery, and other general purpose books. In addition to selling its product range on a website, CBO also has an Amazon store.   

Their challenge: Scaling up on Amazon 

Owing to the competitive nature of the category, Amazon has many other sellers pushing the same products. This has led to CBO not being able to meet its projected growth. In order to scale up as per their plans, CBO needs to fulfill two objectives: 

  • Win the buy box for most of their product listings, which will drive more customers to their products instead of their competitors. The initial buy box win percentage is estimated at 10%
  • Maintain the highest possible margins after price reductions from Amazon as well as other investment and operational costs   

Our strategy: Creating an analytical dashboard to study buy box percentage

Tenovia’s analytical dashboard would conduct a detailed week-on-week study of the buy box percentage, crawling data from four primary locations – each representing east, west, north, and south zones. In addition, the dashboard would also read competitor details such as who won the buy box, its price, ratings, discounts, and delivery times. 

Using this data, we were able to deduce reasons as to why CBO lost the buy box to other vendors. This exercise provided specific and actionable insights to boost CBO’s buy box win percentage by optimizing product pricing, tracking buy box allocation for the entire product catalog, and escalating issues on time. 

The results: Key takeaways and successes 

With Tenovia’s support through the analytical dashboard, we offered CBO a method of accurately forecasting, which minimized inventory idle time in the warehouse and operational expenses. Tensight’s data also allowed CBO to design their promotions, pricing, and purchases – ultimately boosting sales and profit margins. 

CBO now enjoys: 

  • Total visibility of all their products with detailed insights on their competitors to take informed decisions  
  • Total calibration of their pricing strategy and inventory management, allowing them to win their buy box
  • Reduced product delivery times due to improved inventory flow as well as higher availability and stock fill rates across regions  
  • Week over week, we could see a good improvement in the buy box wins % (from 21.4% to 26.9%) when the reasons that is pulling the chance down is calibrated with the help of Tensight.
  • With consistent operational efforts by working with the reports generated they were able to bring down their reasons that was hindering their buy box wins% 
  • In the beginning 68.38% they were losing their buy box because of their price competence, which upon consistent optimization, they were able to bring down to 51.64%
  • 55.76% they were unable to win buy box due to non availability of their stock at the Amazon Fulfillment Centers. With the help of the dashboard report they were able to identify the exact ASINs that would have to be moved to respective FCs for optimal chances reducing the reasons to win the buy box to 42.74%

Boosting regional utilization by 50% in six months and Improving Bottom Line | Paragon Footwear

Boosting regional utilization by 50% in six months and Improving Bottom Line | Paragon Footwear

Paragon Footwear, one of the largest homegrown footwear brands in India, has found success in offline and online retail. The brand manufactures crores of pairs every year. While its eCommerce presence is successful, and growing in all parts of the country, it faces some challenges that are unique to a company of its size – such as effective regional utilization. 

Their challenge: Lack of optimization in stock distribution

Given the sheer range of products and SKUs for a brand of Paragon’s scale, stock distribution based on region and state remains a major aspect, and a challenge, of inventory planning. When done right, optimized regional supply adjusted to keep pace with changing demands drastically decreases delivery timelines and shipping costs – which means higher conversion. 

This is important in eCommerce as the brand’s range of products is exposed to the entire customer base across the country. And to cater to customers across various regions quickly and efficiently, it becomes imperative to distribute inventory strategically. That’s where Tensight comes in.  

Our strategy: Leveraging Tensight’s regional inventory planning functions 

Using Tensight’s regional utilization dashboard, we conducted a detailed analysis of Paragon’s existing state and regional utilization – both overall and across warehouses. This exercise allowed us to support the brand in a few vital ways. 

  1. Discovering sales potential: We identified regions that experienced higher demand as well as states and regions that had immense potential for sales growth.  
  2. Opening new warehouses in strategic locations: Using Tensight’s vital insights and inputs, we created a new strategy to ensure optimal distribution of inventory across India, after which the brand opened two new warehouses in the eastern and western regions of the country.
  3. Fine-tuning SKUs: Further, we also studied the demand from these zones and on-hand inventory to provide an optimal distribution report to distribute inventory on an SKU level across warehouses and regions. 

Our impact: Better regional utilization, happier customers

Turning the Page on Inventory Woes: A New Chapter for Central Books Online on Amazon

central books achieved 12 days idle stock cut and 95% fill RATE USING TENSIGHT.AI

Brand: Central Books Online 

Platform: Amazon 

Problem: 

Central Books Online (CBO) is an online bookstore and education portal offering a wide range of books and stationery, and sells through both its own website and Amazon’s platform to expand product reach. Low regional consumption and mismatched inventory distribution across Amazon’s fulfillment centers led to:

  • Excessive shipping costs
  • Delayed deliveries
  • Low conversion rates
  • Reduced customer satisfaction.

Solution:

Powered by our proprietary AI tool, Tensight.AI, we implemented the following: 

  • Conducted data analysis over multiple time periods (1, 3, 6, and 12 months, and seasonally) to understand trends and plan inventory needs.
  • Developed regional inventory maps across warehouses to guide precise stock relocation based on demand patterns.
  • Allocated inventory to fulfillment centers (FCs) based on regional demand to reduce cross-regional shipping.
  • Created forecasts for reorder quantities to improve inventory flow.
  • Reduced aged inventory holding costs by enhancing turnover rates and improving regional demand matching.

Impact:

Our campaign strategy reduced operational expenses and improved inventory management efficiency, allowing for better-targeted promotions, precise pricing, and improved purchasing decisions, leading to increased sales, healthier profit margins, and improved inventory flow across CBO’s distribution channels, driving higher customer satisfaction and loyalty.

Central Books impact achieved using tensight.ai
  • Reduced idle inventory in the warehouse by an average of 12 Days.
  • Enabled one-day delivery for 80% of product selection.
  • Attained a 95% fill rate across all regions.

How Soch Improved Stock Visibility Across Marketplaces

Brand: Soch Apparels

Category: eCommerce Analytics

Platform: Digital Marketplaces

Problem: 

  • Soch Apparels faced inconsistencies in product listings and inventory visibility across Vinculum (online marketplaces) and Omuni (physical stores).
  • These discrepancies disrupted the shopping experience for customers.
  • The challenge was to create a unified product status map across all sales channels to eliminate these discrepancies.

Solution:

  • Integrated offline retail stock, styles, and eCommerce inventory from Vinculum into the Tensight (Tenovia’s proprietary AI tool) dashboard.
  • Applied integration across all marketplaces on the Vinculum dashboard and cross-validated catalog listings, stock, and front-end visibility for Nykaa Fashion, Myntra, and Ajio (digital marketplaces).
  • Mapped Vinculum’s style count to each marketplace’s backend for listing and stock visibility, and to the front-end for live purchase availability.
  • Provided weekly summaries of Vinculum’s listing percentage and stock exposure for each channel.
  • Enabled clear visibility of panel stock exposure and front-end style exposure percentages.
  • Added filters for simplified data downloads.
  • Highlighted styles on the dashboard that were in Vinculum’s inventory but lacked front-end visibility.
  • Enhanced visibility of unseen SKUs on Vinculum to support better, data-driven decision-making.

Impact:

  • 15% average improvement in listing percentage.
  • 60.85% increase in total stock exposure across the marketplace.
  • 95% panel exposure achieved across strategic channels for maximum reach.
  • 24.08% optimization in front-end exposure percentage.
drastic listing improvement in marketplaces

Total stock exposure across marketplaces such as Flipkart surged by an impressive 60.85%, with an overall average increase of 33.76%

increase in stock exposure for soch in marketplaces

Achieved almost 95% panel exposure for strategic channels

panel stock exposure increase in ajio and nykaa

Optimized front-end exposure percentage by 24.08% (for Myntra).

fronted style exposure increase in myntra and ajio