đđ¤ AI in Sales Forecasting | ā¤Ŧिā¤्⤰ी ā¤Ēू⤰्ā¤ĩा⤍ुā¤Žा⤍ ā¤Žें ā¤ā¤ā¤
đ️ What is Sales Forecasting?
Sales forecasting is the process of
predicting future sales based on past data, market trends, and customer
behavior.
ā¤Ŧिā¤्⤰ी ā¤Ēू⤰्ā¤ĩा⤍ुā¤Žा⤍ ā¤ा ā¤Žā¤¤ā¤˛ā¤Ŧ ā¤šै ā¤ि ā¤ā¤ĩि⤎्⤝ ā¤Žें ā¤ि⤤⤍ी ā¤Ŧिā¤्⤰ी ā¤šोā¤ी, ā¤ā¤¸ā¤ा ā¤
ंā¤Ļाā¤़ा ⤞ā¤ा⤍ा – ā¤Ēु⤰ा⤍े ⤰िā¤ॉ⤰्ā¤Ą ā¤ā¤° ā¤्⤰ाā¤šā¤ों ā¤े ā¤ĩ्⤝ā¤ĩā¤šा⤰ ā¤े ā¤ā¤§ा⤰ ā¤Ē⤰।
AI makes this process faster, smarter, and
more accurate than manual methods.
đ¤ How AI Helps in Sales Forecasting | AI ā¤Ŧिā¤्⤰ी ā¤ा ā¤Ēू⤰्ā¤ĩा⤍ुā¤Žा⤍ ā¤ै⤏े ⤞ā¤ा⤤ा ā¤šै?
1. Analyzing
Historical Data | ā¤Ēु⤰ा⤍े ā¤Ąेā¤ा ā¤ा ā¤ĩिā¤ļ्⤞े⤎⤪
AI reviews past sales data to identify
patterns and seasonal trends.
AI ā¤Ēु⤰ा⤍े ā¤Ŧिā¤्⤰ी ā¤ंā¤ā¤Ą़ों ⤏े ⤏ीā¤ā¤¤ा ā¤šै ā¤ि ā¤ā¤Ŧ ā¤ā¤° ā¤ि⤤⤍ी ā¤Ŧिā¤्⤰ी ā¤šो⤤ी ā¤šै।
2. Customer
Behavior Analysis | ā¤्⤰ाā¤šā¤ ā¤ĩ्⤝ā¤ĩā¤šा⤰ ā¤ा ā¤ĩिā¤ļ्⤞े⤎⤪
AI studies how and when customers buy
products to predict future demand.
AI ā¤¯ā¤š ā¤Ļेā¤ā¤¤ा ā¤šै ā¤ि ā¤्⤰ाā¤šā¤ ā¤ā¤Ŧ, ā¤्⤝ा ā¤ā¤° ā¤ि⤤⤍ी ā¤Ŧा⤰ ā¤ā¤°ीā¤Ļा⤰ी ā¤ā¤°ā¤¤े ā¤šैं।
3. Market
& Seasonal Trend Tracking | ā¤Žौā¤¸ā¤Žी ā¤ā¤° ā¤Ŧाā¤़ा⤰ ā¤्⤰ेंā¤Ą ā¤ी ā¤Ēā¤šā¤ा⤍
AI tracks holidays, festivals, or market
shifts that affect sales.
⤤्⤝ोā¤šा⤰ों, ⤏ीā¤ā¤¨ ā¤ā¤° ā¤Žा⤰्ā¤ेā¤ ā¤Žें ā¤Ŧā¤Ļ⤞ाā¤ĩ ā¤ो AI ā¤Ēā¤šā¤ा⤍⤤ा ā¤šै ā¤ā¤° ā¤Ēू⤰्ā¤ĩा⤍ुā¤Žा⤍ ā¤ो ā¤
ā¤Ēā¤Ąे⤠ā¤ā¤°ā¤¤ा ā¤šै।
4. Real-Time
Forecasting | ⤞ाā¤ā¤ĩ ā¤Ąेā¤ा ⤏े ā¤Ēू⤰्ā¤ĩा⤍ुā¤Žा⤍
AI can adjust forecasts in real-time as new
sales or inventory data comes in.
ā¤ै⤏े ā¤šी ⤍⤝ा ā¤Ąेā¤ा ā¤ā¤¤ा ā¤šै, AI ā¤Ģौ⤰⤍ ā¤Ēू⤰्ā¤ĩा⤍ुā¤Žा⤍ ā¤
ā¤Ēā¤Ąे⤠ā¤ā¤° ⤏ā¤ā¤¤ा ā¤šै।
5. Multichannel
Sales Prediction | ā¤
⤞ā¤-ā¤
⤞⤠ā¤Ē्⤞ेā¤ā¤Ģ़ॉ⤰्ā¤Ž ā¤Ē⤰ ā¤Ŧिā¤्⤰ी ā¤
⤍ुā¤Žा⤍
AI analyzes data from online, offline, app,
and social media channels.
AI ā¤ĩेā¤Ŧ⤏ाā¤ā¤, ā¤Ļुā¤ा⤍ों, ā¤ā¤Ē ā¤ā¤° ⤏ोā¤ļ⤞ ā¤Žीā¤Ąि⤝ा ⤏े ā¤Ŧिā¤्⤰ी ā¤Ąेā¤ा ā¤Žि⤞ाā¤ā¤° ⤏ā¤ी⤠ā¤
⤍ुā¤Žा⤍ ⤞ā¤ा⤤ा ā¤šै।
đ§ AI Technologies Used | AI ⤤ā¤ā¤¨ीā¤ें:
- Machine Learning (ā¤Žā¤ļी⤍ ⤞⤰्⤍िंā¤)
- Predictive Analytics (ā¤Ēू⤰्ā¤ĩा⤍ुā¤Žा⤍ ā¤ĩिā¤ļ्⤞े⤎⤪)
- Neural Networks (⤍्⤝ू⤰⤞ ⤍ेā¤ā¤ĩ⤰्ā¤्⤏)
- Time Series Analysis
- Natural Language Processing (NLP) for market feedback
✅ Benefits | ā¤Ģा⤝ā¤Ļे:
- đ¯ ⤏ā¤ी⤠ā¤Ŧिā¤्⤰ी ā¤Ēू⤰्ā¤ĩा⤍ुā¤Žा⤍
- đĻ ā¤¸्ā¤ॉ⤠ā¤ā¤° ā¤ā¤¨्ā¤ĩेंā¤ā¤°ी ā¤ी ā¤Ŧेā¤šā¤¤ā¤° ⤝ोā¤ā¤¨ा
- ⏳ ā¤¸ā¤Žā¤¯ ā¤ā¤° ⤞ाā¤ā¤¤ ā¤ी ā¤Ŧā¤ā¤¤
- đ ā¤Ŧेā¤šā¤¤ā¤° ā¤Ŧिā¤़⤍े⤏ ⤍ि⤰्⤪⤝ ā¤ā¤° ⤰⤪⤍ी⤤ि
⚠️ Challenges | ā¤ु⤍ौ⤤ि⤝ाँ:
- ❗ Poor data quality = inaccurate predictions
- đ External factors (like pandemic, war) can disrupt forecasts
- đ Over-reliance on AI can ignore human insight
đ Conclusion | ⤍ि⤎्ā¤ā¤°्⤎
"AI is revolutionizing how businesses
plan, produce, and sell by predicting the future with data."
"AI ā¤
ā¤Ŧ ā¤ĩ्⤝ाā¤Ēा⤰ ā¤ो ā¤Ąेā¤ा ā¤े ⤏ाā¤Ĩ ā¤ā¤ĩि⤎्⤝ ā¤ी ⤝ोā¤ā¤¨ा ā¤Ŧ⤍ा⤍े ā¤Žें ā¤Žā¤Ļā¤Ļ ā¤ā¤° ā¤°ā¤šा ā¤šै।"
Either way the teacher or student will get the solution to the problem within 24 hours.