**Predictive analytics for Kaspi — AWW**

> Profit analytics for Kaspi sellers: net profit per SKU including commission and delivery, competitor price history, push alerts, and demand forecasting.

Source: https://aww.kz/en/analytics/

Procurement management

# Predictive analytics for Kaspi sellers

Forecast demand, avoid stockouts, and optimize purchasing with AI

[Try for free](https://aww.kz/en/download/)

87%

Accuracy

−31%

Overstock

−84%

Stockouts

90-day forecast

## Why sellers lose money on procurement

Problem

## Purchasing by guesswork

Sellers buy by guesswork and lose money. Overstock ties up capital, while stockouts mean missed sales and lost search ranking.

Capital is tied up in excess inventory

Stockouts drop your search rankings

Competitors capture your customers

AWW Solution

## Accurate forecasts instead of guesswork

AWW predictive analytics analyzes sales history, seasonality, and trends — forecasting demand for 30–90 days. You buy exactly what you'll sell.

90-day forecast for every SKU

Alerts before stock runs out

Detects trends 2–3 weeks earlier

Features

## Everything for accurate purchasing

### 30–90 day demand forecasting

LSTM and Prophet algorithms analyze history and external factors to predict sales volume for each SKU.

### Stockout alerts

The system warns in advance which items will run out in a week. You can reorder before losing sales.

### Trend detection

The model spots category growth 2–3 weeks before the peak. You buy earlier than competitors and capture the gains.

### Inventory optimization

Accurate reorder recommendations for each item. Minimum tied-up capital, maximum turnover.

![AWW analytics for 30 days: net profit, revenue, margin, orders, units sold and average order, compared with the previous period](https://aww.kz/images/app/ru/analitika-obzor.webp)

Net profit for 30 days

Compared with the previous period

Profit per SKU

## Numbers you can base decisions on

AWW collects your store's orders and calculates net profit — by day, week, month, and for each item individually. The [repricer](https://aww.kz/en/repricer/) uses the same cost-price data: it won't drop a price below the break-even point even at the height of a price war. And the economics of a new purchase batch are easy to estimate in advance with the [profit calculator](https://aww.kz/en/calc/).

[Download the app](https://aww.kz/en/download/)

How it works

## Three steps to precise purchasing

1

### Connect your data

Integrate your Kaspi store. The system will automatically import sales history and current inventory.

2

### Get forecasts

The algorithm will analyze the data and provide demand forecasts for 30, 60, and 90 days for each product.

3

### Make precise purchases

Follow purchasing recommendations. Receive alerts about shortages and trends in real time.

Results

## Numbers, not promises

87%

demand forecast accuracy

−31%

reduction in overstock

−84%

reduction in product shortages

## Profit analytics, not turnover

Three things that change how you see your own store

![AWW Profit: net profit by day and Earned vs Lost — cancellations, returns and sales below break-even](https://aww.kz/images/app/ru/pribyl-po-dnyam.webp)

Net profit · per SKU

### Why revenue is deceptive

Turnover can grow month after month while the money in your account doesn't. Between the selling price and what you actually earn stands a chain of costs: the Kaspi commission with its own rate for every category, delivery, packaging, returns, and the cost of the goods. If you only look at total sales, those costs stay invisible — and a store can trade at a loss for weeks without suspecting it.

AWW counts net profit per SKU, not turnover: it collects the store's orders, subtracts the category commission, delivery, and cost price — and shows how much you actually earned on each item per day, week, or month.

![AWW margin distribution and best and worst products by profit](https://aww.kz/images/app/ru/luchshie-hudshie.webp)

Best and worst by profit

### Products that churn turnover for nothing

The biggest discovery for most sellers is items with plenty of orders and near-zero or negative margin. They create a feeling of brisk trade, tie up money in purchasing and time in handling, but bring no profit.

Sorting your assortment by net profit surfaces such products in a minute. From there the decision is yours: raise the price, switch suppliers, or drop the item from the lineup. Before buying a new batch, it's worth checking the economics in the [profit calculator](https://aww.kz/en/calc/) — it accounts for Kaspi commissions across 21 categories.

![AWW push notifications about competitor prices on Kaspi](https://aww.kz/images/marketing/obj-phone-boxes-800w.webp)

Competitor lowered a price

Competitor price history

### Price history and alerts at the right moment

For every product you can see how competitors' prices changed and when a competitor started dumping — so it's clear where a margin dip came from. Together with the [repricer](https://aww.kz/en/repricer/) it forms a closed loop: analytics shows where profit leaks, and the repricer automatically keeps the price within your set bounds.

Push alerts arrive when something important happens: a competitor changed a price, a product lost the Buybox, or an item's margin went negative. No need to keep the dashboard open all day — your phone will tell you when it's time to step in. To see your own store's profit, [download the app](https://aww.kz/en/download/): the first numbers appear right after order sync.

## What else AWW analytics shows

Three sections of the app — real screens on a demo store, in the Russian interface (the app also runs in Kazakh).

![AWW Sales: revenue by day and a heat map of sales by weekday and hour, Almaty time](https://aww.kz/images/app/ru/prodazhi-kogda.webp)

***“When you sell”.** A heat map of orders by weekday and hour, Almaty time: it shows the hours when your store gets the most orders.*

![AWW returns and cancellations: money lost, Kaspi commission kept, losses by day and by product](https://aww.kz/images/app/ru/vozvraty-otmeny.webp)

***Returns and cancellations** in their own section: how much money was lost, how much of it is commission Kaspi kept, and on which products.*

![AWW auto-price impact: price changes, share of time at the target place, changes by day and margin erosion](https://aww.kz/images/app/ru/chto-dala-avtocena.webp)

***“What auto-price delivered”.** How often prices changed, how long products held the target place, and where margin slipped.*

Real results

## Data, not guesswork

Sellers on Kaspi.kz make decisions based on AWW predictive analytics

ElectroMax

Ruslan K. · Home Appliances

"AWW analytics predicted a surge in demand for air conditioners three weeks before the heat. We stocked up early — competitors ran out of stock, and we achieved a 2.5x increase in revenue."

S

StyleRoom

Zhanna T. · Furniture

"Before, 15% of our items would sit in the warehouse for months. After integrating AWW analytics, turnover rose by 40% — we now order exactly what we sell."

P

PharmaPlus

Marat I. · Pharmaceuticals

"Stockouts dropped from 12% to 2%. The system notifies us in advance which items are running low and when to reorder. We save 200+ thousand ₸ per month on rush purchases."

E

ElectroMax

Ruslan K. · Home Appliances

"AWW analytics predicted a surge in demand for air conditioners three weeks before the heat. We stocked up early — competitors ran out of stock, and we achieved a 2.5x increase in revenue."

S

StyleRoom

Zhanna T. · Furniture

"Before, 15% of our items would sit in the warehouse for months. After integrating AWW analytics, turnover rose by 40% — we now order exactly what we sell."

P

PharmaPlus

Marat I. · Pharmaceuticals

"Stockouts dropped from 12% to 2%. The system notifies us in advance which items are running low and when to reorder. We save 200+ thousand ₸ per month on rush purchases."

T

ToolMaster

Kairat D. · Tools

"AWW reports showed that 30% of our assortment delivers 80% of profit. We removed underperforming items — margin rose 18% with fewer SKUs."

V

VitaShop

Aynur M. · Supplements & Vitamins

"Demand forecasts hit with 89% accuracy. We stopped guessing which vitamins to stock for the season — AWW shows trends two weeks ahead."

N

NaturKZ

Saule R. · Cosmetics

"Thanks to the analytics we found 12 dead-weight products that took up warehouse space and didn't sell. We replaced them with trending items — revenue grew 25% in a month."

T

ToolMaster

Kairat D. · Tools

"AWW reports showed that 30% of our assortment delivers 80% of profit. We removed underperforming items — margin rose 18% with fewer SKUs."

V

VitaShop

Aynur M. · Supplements & Vitamins

"Demand forecasts hit with 89% accuracy. We stopped guessing which vitamins to stock for the season — AWW shows trends two weeks ahead."

N

NaturKZ

Saule R. · Cosmetics

"Thanks to the analytics we found 12 dead-weight products that took up warehouse space and didn't sell. We replaced them with trending items — revenue grew 25% in a month."

## Stop buying blindly

Enable predictive analytics and make data-driven decisions

[Try for free](https://aww.kz/en/download/)

FAQ

## Frequently Asked Questions

How much data is needed for an accurate forecast?

For a basic forecast, 30 days of sales history is sufficient. The more data, the more accurate the forecast — ideally at least 3 months. The system starts working immediately and improves accuracy as more data accumulates.

What data does the model use?

The model analyzes sales history, current inventory levels, prices, seasonal patterns, holidays (Nauryz, March 8, Black Friday) and category trends on Kaspi.kz.

How does the system account for seasonality?

The algorithm automatically detects seasonal patterns in your data and adjusts forecasts accordingly. Kazakhstan's holidays and peak periods are already incorporated into the model.

Can I get a forecast for a new product?

For new products without sales history, the system uses data from similar items in the category and overall market trends. Accuracy increases as your own data accumulates.

How often is the forecast updated?

Forecasts are recalculated daily with new sales data. Alerts about shortages and anomalies are delivered in real time.

Does the analytics integrate with procurement?

The system provides precise purchase quantity recommendations for each SKU. You can see how many units to order and by what date to avoid stockouts.

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