BEKSAR

Our platform offers sales tracking automation, customer management, and data analytics—all in one system. Based on accumulated data, we help businesses increase profits, reduce losses through effective business management driven by data analysis, and secure funding from banks and other financial institutions by providing highly accurate data for scoring.

During implementation, we employ:

Ensemble methods such as Gradient boosting and Random Forest.
Classical regression models.
Clustering algorithms like K-Means and DBSCAN.
Anomaly detection algorithms such as Isolation Forest and One-Class SVM.
For recommendation systems, we plan to implement collaborative filtering.

All development is conducted in Python, utilizing libraries such as scikit-learn, XGBoost/LightGBM/CatBoost, and operating in a "batch" mode (on a schedule) to regularly recalculate forecasts, generate recommendations, and dynamically update prices.

Working solution

Grocery retail:

Convenience stores.
Markets and bazaars.
Non-Food Retail:

Electronics stores.
Clothing and footwear stores.
Home appliance stores.
Furniture and home goods stores.
Specialized stores:
Pharmacies.
Sporting goods stores.
Bookstores and stationery shops, etc.

Since our founding in 2021, we have grown to 3,500 stores making monthly recurring payments. Our MRR has reached $70,000 per month.

In 2023 alone, businesses using Beksar processed over $1 billion in sales. This enables financial institutions to conduct significantly more effective scoring when providing funding to SMEs.

Beksar automates routine tasks, reduces losses by 30%, and increases customer retention. We save time, boost profits, and eliminate unnecessary losses.

1. Application of Big Data technologies
2. Application of AI and speech analytics technologies
3. multichannel CRM Made in KZ
4. Solutions are also presented in Kazakh language

Expand our presence in Central Asian countries (we are already present in Uzbekistan and Kyrgyzstan, with an upcoming test launch in Azerbaijan and Georgia).
Launch operations in the United States.
Increase the number of users and work towards listing on the stock exchange.