White Paper

Global IT research firms say

  1. BI is CIO’s no 1. priority globally for two consecutive years now, even in the days of meltdown.
  2. Over 60% CEO thinks that they need to do a better job of capturing and understanding information to make more efficient and timely business decisions.
  3. Many organizations did comparatively much better business during slowdown and they were well equipped with Reporting, score carding,   Dash boarding, forecasting, what-if modeling, interactive visualization and other analytical tools. 

Consumer Durable Manufacturers Giant

A Global Fortune 500 Consumer Electronics Giant adopts Kautilya.

One of the largest Consumer Durable Manufacturers in the world have expanded Kautilya’s footprint in the company. Kautilya is now become the BI solution of choice for their Go to Market Team with the Reports, Dashboards and Analytics impacting over 50,000 dealers of the company.

Some of the Key-Features that were used-

  • Market Share Analysis: Provide a report through which user can analyze how company is performing against its competitor.
  • Product Share Analysis: Provide a report through which user can analyze how company product is performing against its competitor product of same range.
  • Branch Sale Behavior: Provide a report through which user can check the ranking of the branch based on the daily, weekly, monthly and yearly sale.

FMCG Distributors and Retailers

A Global largest Pepsi bottler adopts Kautilya.

One of the largest Pepsi bottler in the world, a diversified business conglomerate with interests in beverages, quick-service restaurants, dairy and healthcare have expanded Kautilya’s footprint in the company. Kautilya is now become the BI solution of choice for their Go to Market Team with the Reports, Dashboards and Analytics impacting over 5,00,000 outlets of the company.

Some of the Key-Features that were used-

  • Sales Man wise Order Analysis: Provide a report through which user can analyze how sales man are performing based on the outlet coverage and call assigned.
  • Order verses Delivery: Provide a report through which user can analyze how many orders has delivered / completed for every sales man for making the incentive.
  • Pack Performance:Provide a report through which user can check the performance of sale for a group of packs.
  • Purchase Frequency:Provide a report through which user can categorize the outlet based on their order frequency to give them discount.
  • Outlet Behavior:Provide a report through which user can check the performance of sale for a specific category of outlet.

E-Commerce giant

A top tier E-Commerce giant has chosen Kautilya to enable insights into its data for its internal requirements. This covers all the departments like Sales, Marketing, Warehousing and HR covering various KPIs like Cohort Analysis, Co relation Analysis, MoM and YoY Analysis, etc.

Some of the Key-features that were used-

  • Repeat Customer Behavior Analysis in waterfall concept: Provide a report through which users can analyze how many new customers are adding into the network monthly and how many are giving the repeat transaction in consecutive months.
  • Sale City and Store City Relation Analysis: Provide a report through which user can analyze that which store is overloaded in terms of request and which city is giving more business having no store.
  • Turnaround Time (TAT) Analysis: Provide a report through which user can analyze that how the order processing is going on based on days / hours passed after receiving the order.
  • Order State Funnel Analysis: Provide a report through which user can analyze the % of order dropped at each state of processing with reason.
  • Promotion Analysis: Provide a report through which user can analyze how the promotion performing as hours passing and what profit is generated by the promotion.
  • Dead Inventory Analysis: Provide a report through which user can analyze how which SKU is lying in dead inventory and from how many days.
  • Sale Price Forecaster: Provide a report through which user can decide the sale price to wash out the dead inventory of any SKU based on profit margin set by the user.
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