Custom Retail Data Solutions for Proactive Retail & eCommerce Sales

Retail industry data challenges

Accessing data insights shouldn’t feel like a chore

Too many platforms. Too much data

Data deluge is real for retail with countless tools fragmenting them - CRM, inventory management, accounting, point-of-sales, ERP, and more. There requires smooth integration across platforms to extract insights and power personalized campaigns.

Need to be omnipresent

Customer expectations change every day

Need to make revenue sustainably

End-to-end data analytics services

Real-time data solutions, so you never miss a beat

Demand forecasting

Go beyond the general guesswork of ‘what will sell more tomorrow?’ and receive trench-level trend predictions with demand forecasting - what product, which location, which category, which color, and more like this. We develop statistical and AI-based demand forecasting models based on your historical sales data and external factors.

Get extensive reports featuring periodic, seasonal, and festive demand trends in accurate figures—interactive visualization with features like scenario planners, prescriptive analytics, & what-if analysis. Have a forecasting model, but accuracy not up to the mark? Our data scientists could help improve accuracy rates.

CUSTOMER SPOTLIGHT

Success stories from businesses like you

Reshaping retail analytics using Tableau

10x

Faster time to insights

Transforming semi-structured retail sales data into interactive visualizations with curated views for detailed analysis.

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Retailers cut down ‘out-of-stock’ using lost sales forecasting

80%

Forecasting accuracy

Predicting bestsellers and minimizing lost sales opportunities using ML sales forecasting.

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FAQS

Got questions? We got you covered.

What is dynamic pricing in retail analytics?

Dynamic pricing in retail analytics is an AI-based system to modify retail pricing in real-time, based on factors like demand, availability, competitors’ pricing, and others. This allows retailers and D2C businesses maximize profits & revenue while helping customers get best deals for products.

How is data analytics and AI used in retail industry?

Data analytics and AI is changing retail & eCommerce industry improve their revenue, & maintain better stock levels, & target better by allowing the companies utilize customer data, purchase history, buying patterns, and other data points.

What is the future of retail AI?

The future of retail AI looks better with many advanced AI technologies use cases like AI shopping assistants, virtual try-ons, theft and loss prevention, dynamic store arrangement suggestions, cashier-less checkouts, VR and AR integration, and other hyper-personalization applications.

CLIENT VOICES

Take our customers word for it

They were flexible and adaptive to the client's changing requirements. The team executed a smooth workflow to ensure the project's success. Their flexibility and adaptiveness were notable in the partnership.

Bhargav Raghavendra

Senior IT Director, Cyient

The team at datakulture are inspiring to work with. Their drive for excellence and the values they share from the top down are impressive. The result is top quality work and a partner you are proud to work with.

Liran Lahav

COO, Q Report

We were really impressed with their service orientation and understanding of our business. Showcasing expertise in data engineering, datakulture was successful in implementing the dashboard, allowing the client to track their KPIs and make data-driven decisions. The team's solid understanding of the client's business and their needs was critical to the project's success.

Biswajit Rath

Head of Analytics, Raymond Limited.

I just wanted to say a big thank you for all the support you've given us. Your expertise in Data and Analytics is really helping us make better data-driven decisions. The way you're assisting us with MS Fabric is fantastic, and we're excited about gradually migrating to it to boost collaboration across our organization.