Select Studies on the Impact of Pandemic and Product Pricing: A Case Study on Parle-G Brand
Bibliographic record
Abstract
The selling of Parle-G biscuit recorded the highest sales among all biscuit companies operating in the Indian FMCG market during the lockdown period of India. The 1st quarter (April-June) audited sales of Parle-G of the financial year 2020-2021 broke all the records of past 9 decades sales i.e. for the period of 1929 to 2020 since from the inception of the company:‘Parle Products’ followed by selling Parle-G biscuit brand having a maximum retail price of INR ₹5 and INR ₹2 in the biscuit category products. This proposed teaching case searches for answers like how come Parle-G had set the record by selling even extremely low-priced biscuit pack sizes like INR ₹5 and INR ₹2 in spite of the pandemic and lockdown time? An attempt has also been provided in this case study to underline how the poor people had been impacted by the Parle-G biscuit product during the unprecedented pandemic. This case also highlights the crucial factors which had enabled Parle-G for setting the sales record and enjoying a substantial market share in the biscuit segment in India during the aforesaid period.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".