Analysis of the Turnover of Herbal Medicines in Pharmacy Organizations and Directions for Increasing Sales of Pharmaceutical Products
Why this work is in the frame
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Bibliographic record
Abstract
The article analyzes the turnover of herbal products offered by a single pharmacy organization and identifies ways to increase sales of this group of pharmaceutical products. Every year, the popularity of herbal medicines sold in pharmacy chains among the population increases, this is due to the fact that the population in general is gradually moving to a healthy lifestyle nowadays and people prefer to use natural medicines recommended by pharmacists to restore their health.
 Considering the need to popularize phytoproducts among the population, the author analyzes the turnover of this group of products, identifies the most popular names of pharmaceutical products in this group and comes to the following conclusion: the largest number of herbal products is represented by the company "Pharmatsvet" (62%), the company "Evalar" is represented by 38%. The authors found that the pharmacy "Pharmacy for the Thrifty" the largest number of implemented drugs (Q1 in the amount of RUB 1239288, in the 2nd quarter in the amount of RUB 1345320) and the lowest sold of mineral waters (in the 1st quarter of selling amounted to RUB 76321, in the 2nd quarter 54321 RUB). On the basis of the analysis of the structure of the range of pharmacy "Pharmacy for the Thrifty" it is established that in the 1st quarter, the largest number were drugs from 39.04%, in the second quarter this figure had risen to 40.9%.
 A study of the range of herbal products in the pharmacy "Pharmacy for the Thrifty" showed that the products of the company "Evalar" have a smaller share in the range. This is due to the fact that the cost of herbal teas of this company is much higher than similar herbal teas of the company "Farmatsvet".
 Evalar also publishes its own magazine, phytodoctor, which is distributed free of charge. In each magazine, you can find a tea bag that this company produces. At any purchase, each buyer is issued such a magazine, the pharmacist should invite customers to pay attention to the magazine page, where there is a sample of a particular herbal tea and talk about the advantages of Evalar products.
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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 | 0.008 | 0.037 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it