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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".