Dashboard

PERFORMANCE OVERVIEW

The entire geography for shipments in Pickrr is divided into 5 zones:

Zone A- Intra-city,
Zone B- Within a radius of 500km in the state itself,
Zone C- Metro to Metro,
Zone D- Rest of India,
Zone E- Up-countries.

Each zone has its particular number of orders which have been dispatched and their statistics. In Zone-wise delivery performance, you can see the statistics across zones and the overall status statistics.

You can also see the TAT performance. TAT stands for Turnaround time, which is the time that Pickrr takes to attempt orders from the pick-up date. For example: For zone A, Pickrr takes approximately 1.01 days after the pickup is done to attempt the orders. The In TAT and Out TAT %age is defined based on some specific metrics that we have given to each zone. For zone A, the metric is 2 days, any order that is getting attempted within 2 days is IN TAT and any other order that is getting attempted after 2 days is OUT TAT. Similarly, we have metrics for all the zones. By default, you get one-week statistics, but you can change the dates to whichever date range you want to see.

Next, we have high order volume cities. This gives you an idea of where all your orders are coming from. The city with the maximum order volume is showcased as the first one on the list. Top 6 cities' data is shown here. State-Wise stats are visible on the map.

Here, you can also find how many attempts Pickrr takes to deliver the orders. While most of the orders are delivered on the first attempt, there can be cases where more than 1 attempt is required in case the customer is not available or the customer refused the shipment for some reason.

Pickrr focuses solely on successful delivery even if it requires several attempts.

Lastly, you can find your daily performance summary. This gives you an idea of how many orders are getting delivered or picked up each day.

REVENUE

This section gives you an overall idea of how much revenue is getting generated on a daily basis for your business. Revenue is recognized only for the delivered orders. Total revenue along with the bifurcated COD and prepaid revenue generated in a week is displayed here. Top 5 cities in terms of revenue generation are shown here.

If you go deeper into the product level revenue, you will also see the SKU(Stock Keeping Units) level revenue. SKU corresponds to the number of orders and the revenue attached to it.

**Note: The revenue data, the SKU level data and the high volume city data in performance are all relevant for your marketing team as well. You can focus on specific cities and specific products to market your solutions better.

ORDER STATUS

The last section is all about the operational sort of a matrix screen where you get an idea of the status of all the orders that are currently placed on your system and their corresponding RTO percentages. RTO is returned to origin, basically, the orders that are not delivered despite multiple re-attempts to the customer come under RTO and these are returned back to the your (seller’s) warehouse.

Lastly, you get the High RTO cities, corresponding to the highest RTO ratios. Any corrective measures like blocking certain pin codes because of high RTO ratios can be taken based on this data. Again state-wise statistics for the same are shown here. You also have SKU-wise data here to figure out which SKUs correspond to the highest number of RTOs.

Always make sure to consider a large enough data range for analysis. If a product is not performing that well then you might need to consider discontinuing that product or maybe break the combo and sell them separately. The decision is all yours to make.