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THE LEDGER Chapter 11 — A Message After All These Years

 THE LEDGER Chapter — A Message After All These Years It was the last day of the week. It was past 10 p.m. Aravind was sitting in his room. On the table were all the notes and reports from the investigations he had conducted throughout the week. After going through every detail of the cases he had investigated during the past week, Aravind prepared his Weekly Investigation Report. He carefully checked every piece of information. He went through the doubtful points once again. Then he completed the report. He placed it inside a file. He decided to send it by Registered Post from the post office the following day and kept the file safely on the table. He looked at the time again. It was already late. Aravind switched off the light. He went to bed. Exhausted from the week's investigations, he slowly fell asleep. --- The Next Morning As usual, Aravind woke up early. He completed his morning Surya Namaskar. After that, he went through his Kalaripayattu training. His entire body was cove...
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Exponential Smoothing — Short Theory

 Exponential Smoothing — Short Theory

Exponential Smoothing is a time-series forecasting method used to estimate future demand. It combines the previous forecast with the latest actual demand to prepare a new forecast. More importance can be given to recent demand, while the previous forecast is also considered. This method helps supply chain managers make better decisions about production, inventory, purchasing, and distribution.





Exponential Smoothing — Simple Practical Method


Exponential smoothing means making a new forecast by combining recent actual demand with the previous forecast.


We give importance to both.


Example


Suppose a shop sells masala powder.


Previous forecast = 100 packets


Actual demand = 120 packets



Now we decide:


Give 20% importance to the actual demand


Give 80% importance to the previous forecast



Step 1 — Take 20% of actual demand


20% of 120:


24 packets


Step 2 — Take 80% of previous forecast


80% of 100:


80 packets


Step 3 — Add them together


24 + 80 = 104 packets


So our new forecast is 104 packets.



---


What did we actually do?


We did not completely ignore the old forecast.


We also did not completely depend on the latest sales.


Instead, we combined them:


Recent actual demand → 20% → 24 packets


Previous forecast → 80% → 80 packets


New forecast → 104 packets


Simple practical meaning:


> If sales suddenly increase from 100 to 120, we don't immediately assume that the next month's demand will also be 120. We make a balanced forecast using both the previous forecast and the latest actual demand.




That is Exponential Smoothing in the simplest practical sense.


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