FreshStock QR Operations
WordPress FreshStock QR Subscriber Workspace
Simulating active subscriber session credentials, provincial retail access scopes, and reporting periods
R 1,676,982.94
Value preserved from 81497 sold items
Represents the total financial value recovered by discounting critical stock instead of disposing of it.
65.8%
Percentage of critical aging stock sold
Measures the percentage of perishable items effectively sold through markdown strategies rather than discarded.
R 876,359.53
Value of 42377 items sent to compost
Shows the total value of stock that passed its expiration threshold and required disposal.
2625
Active schedules across 5 checked regions
Indicates the current number of active inventory batches being tracked across all regional store locations.
Cumulative Loss Mitigation Trend (20-Day Profile) ?
Tracking saved value vs lost value day by day
Store Performance ?
Recovery rate by region/province
Store Profitability Trend ?
Cumulative profit (R) of All Stores over 20 days
Product Profitability Trend ?
Cumulative profit (R) of over 20 days
Product Lifecycles Breakdown ?
Detailed metric analysis of all stocked product catalog classes over simulated reporting window.
| Product | Completed Cycles | Total Preserved Revenue | Total Lost Value | Efficacy Rate | GP% | Action |
|---|---|---|---|---|---|---|
| Potatoes | 105 batches | R 235,870.99 | R 118,738.42 | 66.7% Efficacy | -42.9% | Simulate |
| Tomatoes | 105 batches | R 147,362.68 | R 60,775.41 | 70.6% Efficacy | -42.8% | Simulate |
| Apples | 105 batches | R 113,590.02 | R 60,310.23 | 65.1% Efficacy | -42.9% | Simulate |
| Pears | 105 batches | R 95,378.14 | R 52,102.67 | 64.7% Efficacy | -42.9% | Simulate |
| Onions | 105 batches | R 76,136.93 | R 48,213.77 | 61.2% Efficacy | -42.9% | Simulate |
| Peppers | 105 batches | R 74,781.36 | R 42,597.89 | 63.6% Efficacy | -42.9% | Simulate |
| Grapes | 105 batches | R 74,711.23 | R 41,850.12 | 64.2% Efficacy | -42.9% | Simulate |
| Oranges | 105 batches | R 72,462.60 | R 40,991.20 | 64.2% Efficacy | -42.9% | Simulate |
| Peaches | 105 batches | R 71,452.18 | R 36,587.62 | 66.3% Efficacy | -42.9% | Simulate |
| Lemons | 105 batches | R 68,721.04 | R 33,227.31 | 67.7% Efficacy | -42.8% | Simulate |
| Bananas | 105 batches | R 58,943.48 | R 26,172.72 | 69.2% Efficacy | -42.8% | Simulate |
| Melon | 105 batches | R 53,021.81 | R 28,566.10 | 65.1% Efficacy | -42.8% | Simulate |
| Strawberries | 105 batches | R 50,008.56 | R 28,695.32 | 63.9% Efficacy | -42.9% | Simulate |
| Pineapple | 105 batches | R 47,624.66 | R 24,145.41 | 66.2% Efficacy | -42.8% | Simulate |
| Kiwi | 105 batches | R 47,268.17 | R 26,227.35 | 64.3% Efficacy | -42.9% | Simulate |
| Blueberries | 105 batches | R 47,211.34 | R 25,080.32 | 65.1% Efficacy | -42.8% | Simulate |
| Avocados | 105 batches | R 45,478.02 | R 28,157.29 | 62.0% Efficacy | -42.8% | Simulate |
| Raspberries | 105 batches | R 43,261.18 | R 21,587.12 | 66.5% Efficacy | -42.9% | Simulate |
| Mushrooms | 105 batches | R 40,417.66 | R 22,160.15 | 64.8% Efficacy | -42.9% | Simulate |
| Broccoli | 105 batches | R 40,117.69 | R 20,989.27 | 65.8% Efficacy | -42.9% | Simulate |
| TOTAL | 2100 batches | R 1,503,819.74 | R 787,175.69 | 65.7% Efficacy | -42.9% |
Potatoes
R 169,625.40
Highest financial loss incurred from dumped stock passing expiry thresholds across regional units.
Recommendation: Adjust summer/winter shelf-life coefficients on the Seasonal Database to trigger markdown alerts 12 hours earlier.
Potatoes @ Freshies Pretoria
R 60,626.98
Highest cumulative revenue successfully preserved via proactive 30% discount clearances.
Observation: Store displays optimal 2-per-day stock-taking intervals, ensuring highly responsive and synchronized markdown timing.
Store-by-Product Lifecycle Performance ?
Granular breakdown of specific produce lines crossed with local supermarket branches to isolate regional variances.
| Supermarket & Produce Line | Completed Cycles | Preserved Revenue | Lost Value | Efficacy Rate | GP% |
|---|---|---|---|---|---|
|
Potatoes
Freshies Cape Town
|
21 batches | R 52,620.12 | R 24,259.20 | 75.6% Efficacy | -42.9% |
|
Tomatoes
Freshies Cape Town
|
21 batches | R 36,763.20 | R 9,991.80 | 84.0% Efficacy | -42.9% |
|
Apples
Freshies Cape Town
|
21 batches | R 29,488.20 | R 11,102.70 | 79.1% Efficacy | -42.9% |
|
Pears
Freshies Cape Town
|
21 batches | R 22,686.12 | R 8,970.56 | 78.3% Efficacy | -42.8% |
|
Grapes
Freshies Cape Town
|
21 batches | R 19,593.81 | R 6,424.74 | 81.3% Efficacy | -42.9% |
|
Peppers
Freshies Cape Town
|
21 batches | R 19,398.00 | R 6,970.00 | 79.9% Efficacy | -42.8% |
|
Peaches
Freshies Cape Town
|
21 batches | R 19,389.66 | R 5,295.68 | 84.0% Efficacy | -42.9% |
|
Onions
Freshies Cape Town
|
21 batches | R 19,332.24 | R 8,426.88 | 76.6% Efficacy | -42.9% |
|
Lemons
Freshies Cape Town
|
21 batches | R 19,117.28 | R 3,186.15 | 89.6% Efficacy | -42.8% |
|
Oranges
Freshies Cape Town
|
21 batches | R 18,553.50 | R 6,583.50 | 80.1% Efficacy | -42.9% |
|
Bananas
Freshies Cape Town
|
21 batches | R 15,206.40 | R 3,185.01 | 87.2% Efficacy | -42.9% |
|
Blueberries
Freshies Cape Town
|
21 batches | R 12,573.73 | R 4,446.75 | 80.2% Efficacy | -42.8% |
|
Melon
Freshies Cape Town
|
21 batches | R 12,301.23 | R 2,992.50 | 85.4% Efficacy | -42.8% |
|
Kiwi
Freshies Cape Town
|
21 batches | R 12,284.50 | R 4,132.92 | 80.9% Efficacy | -42.9% |
|
Pineapple
Freshies Cape Town
|
21 batches | R 12,067.37 | R 3,564.75 | 82.9% Efficacy | -42.8% |
|
Strawberries
Freshies Cape Town
|
21 batches | R 11,699.60 | R 5,660.51 | 74.7% Efficacy | -42.9% |
|
Avocados
Freshies Cape Town
|
21 batches | R 11,612.16 | R 3,844.80 | 81.2% Efficacy | -42.9% |
|
Raspberries
Freshies Cape Town
|
21 batches | R 11,188.30 | R 3,498.56 | 82.0% Efficacy | -42.9% |
|
Carrots
Freshies Cape Town
|
21 batches | R 10,654.71 | R 3,300.66 | 82.2% Efficacy | -42.8% |
|
Mushrooms
Freshies Cape Town
|
21 batches | R 10,599.95 | R 3,058.98 | 83.2% Efficacy | -42.9% |
|
Broccoli
Freshies Cape Town
|
21 batches | R 10,393.01 | R 2,375.01 | 86.2% Efficacy | -42.9% |
|
Spinach
Freshies Cape Town
|
21 batches | R 10,098.25 | R 2,214.59 | 86.7% Efficacy | -42.8% |
|
Cucumbers
Freshies Cape Town
|
21 batches | R 8,118.00 | R 3,542.00 | 76.6% Efficacy | -42.8% |
|
Cabbage
Freshies Cape Town
|
21 batches | R 8,076.14 | R 2,014.60 | 85.1% Efficacy | -42.9% |
|
Lettuce
Freshies Cape Town
|
21 batches | R 6,518.40 | R 3,043.29 | 75.4% Efficacy | -42.9% |
|
Potatoes
Freshies Durban
|
21 batches | R 41,336.40 | R 43,596.00 | 57.5% Efficacy | -42.9% |
|
Tomatoes
Freshies Durban
|
21 batches | R 21,914.50 | R 23,365.44 | 57.3% Efficacy | -42.8% |
|
Apples
Freshies Durban
|
21 batches | R 19,491.40 | R 21,965.65 | 55.9% Efficacy | -42.8% |
|
Pears
Freshies Durban
|
21 batches | R 17,168.58 | R 16,903.36 | 59.2% Efficacy | -42.9% |
|
Peaches
Freshies Durban
|
21 batches | R 13,029.00 | R 10,505.10 | 63.9% Efficacy | -42.9% |
|
Oranges
Freshies Durban
|
21 batches | R 12,160.25 | R 12,257.28 | 58.6% Efficacy | -42.9% |
|
Peppers
Freshies Durban
|
21 batches | R 11,821.80 | R 14,175.36 | 54.4% Efficacy | -42.9% |
|
Onions
Freshies Durban
|
21 batches | R 11,616.22 | R 17,974.00 | 48.0% Efficacy | -42.9% |
|
Lemons
Freshies Durban
|
21 batches | R 10,824.45 | R 13,669.50 | 53.1% Efficacy | -42.9% |
|
Grapes
Freshies Durban
|
21 batches | R 10,623.22 | R 16,341.13 | 48.2% Efficacy | -42.9% |
|
Strawberries
Freshies Durban
|
21 batches | R 9,504.53 | R 8,432.67 | 61.7% Efficacy | -42.9% |
|
Melon
Freshies Durban
|
21 batches | R 9,230.13 | R 10,054.80 | 56.7% Efficacy | -42.9% |
|
Bananas
Freshies Durban
|
21 batches | R 9,049.46 | R 9,730.50 | 57.0% Efficacy | -42.8% |
|
Blueberries
Freshies Durban
|
21 batches | R 8,389.92 | R 7,656.00 | 61.0% Efficacy | -42.9% |
|
Pineapple
Freshies Durban
|
21 batches | R 7,915.41 | R 7,842.45 | 59.0% Efficacy | -42.8% |
|
Kiwi
Freshies Durban
|
21 batches | R 7,091.25 | R 10,214.82 | 49.8% Efficacy | -42.8% |
|
Broccoli
Freshies Durban
|
21 batches | R 6,980.40 | R 6,552.24 | 60.3% Efficacy | -42.8% |
|
Carrots
Freshies Durban
|
21 batches | R 6,914.86 | R 8,381.34 | 54.1% Efficacy | -42.9% |
|
Avocados
Freshies Durban
|
21 batches | R 6,784.32 | R 9,864.90 | 49.6% Efficacy | -42.8% |
|
Cucumbers
Freshies Durban
|
21 batches | R 6,055.00 | R 7,175.00 | 54.7% Efficacy | -42.9% |
|
Raspberries
Freshies Durban
|
21 batches | R 5,862.64 | R 8,871.10 | 48.6% Efficacy | -42.9% |
|
Mushrooms
Freshies Durban
|
21 batches | R 5,822.96 | R 8,988.81 | 48.1% Efficacy | -42.9% |
|
Cabbage
Freshies Durban
|
21 batches | R 5,819.40 | R 5,041.62 | 62.2% Efficacy | -42.8% |
|
Spinach
Freshies Durban
|
21 batches | R 5,612.90 | R 7,882.68 | 50.4% Efficacy | -42.9% |
|
Lettuce
Freshies Durban
|
21 batches | R 5,084.73 | R 5,945.67 | 55.0% Efficacy | -42.8% |
| TOTAL | 1050 batches | R 696,437.61 | R 455,473.56 | 68.5% Efficacy | -42.9% |
Executive Performance & Findings Report ?
Holistic strategic assessment identifying critical performance leaders and high-shrink vulnerabilities across regional stores and fresh product lines.
Freshies Cape Town
Exemplary compliance with daily scanning protocols and rapid 30% discount response.
Freshies Johannesburg
Lags in daily inventory scanning intervals, resulting in excess stock dumping on expiry dates.
Cucumbers
High demand elasticity at markdown tier results in exceptional product clearance rates.
Spinach
Shorter bio-resiliency shelf life. Requires early-alert profiles on the seasonal database.
Key Operations Findings & Actionable Recommendations
1. Improve Regional Checking Intervals: Low-performing stores such as Freshies Johannesburg exhibit average stock check intervals exceeding 28 hours. Raising compliance standards to match the 12-hour cycle achieved at Freshies Cape Town is estimated to reclaim up to R 15,000.00 in quarterly shrink.
2. Dynamic Seasonal Shelf-life Calibrations: High-spoilage produce lines like Spinach require tighter alert triggers during seasonal peaks. Integrating immediate temperature and relative humidity parameters into the FreshStock alert algorithms will notify regional managers to initiate markdown processes up to 8 hours earlier, preventing total product loss.
