Sandro Shubladze

At Datamam, we don’t just scrape data or build one-size-fits-all tools. We create end-to-end solutions that help executives make faster decisions, optimize operations, and uncover new opportunities without getting bogged down in technical complexities.

Our approach is simple: provide high-quality, enriched data that integrates seamlessly into existing systems. That way, companies can focus on strategy and innovation rather than cleaning, organizing, or worrying about compliance. Whether it’s tracking market trends, optimizing pricing, or improving automation, we make sure data works for you—not the other way around.

Dynamic Pricing

How Should Retailers Use Competitor Data in Dynamic Pricing Without Chasing Short-Term Noise?

A competitor lowers a price for six hours. A marketplace seller runs a temporary promotion. A grocery item appears cheaper

Category Management

How Can Retail Category Teams Use Competitor Prices, Assortments, and Promotions to Make Better Category Decisions?

A category can lose sales while competitors hold prices steady. Another can grow while rivals increase promotions. A competitor may

Retail Analytics

How Can Retailers Combine Competitor Prices, Assortments, and Stock Signals With Internal Retail Analytics?

Internal and external retail data rarely arrive in a form that can simply be joined together. A retailer may record

Assortment Planning

How Do Retailers Use Competitor Catalog Data to Find Assortment Gaps?

A competitor may carry more sizes, additional pack formats, another price band, a broader shade range, or product types that

Product Information Management

How Do Retailers Bring Competitor Product Data Into Product Information Management Systems?

A competitor product page may expose a specification that is missing internally. Another may organize variants more clearly. Several competitors

Price Optimization

How Do Retailers Use Competitor Data for Price Optimization Without Starting a Race to the Bottom?

Competitor prices matter, but they are not pricing instructions. A retailer may observe a rival selling the same product for

Retail Merchandising

How Can Merchandising Teams Use Competitor Assortment, Pricing, and Promotion Data?

Merchandising teams make decisions across product range, inventory depth, pricing position, promotions, markdowns, seasonal timing, and category presentation. Internal data

Brand Protection

How Do Luxury Brands Detect Counterfeit and Unauthorized Listings Across Online Marketplaces?

Luxury brands can encounter the same product identity, trademark, imagery, or design across marketplaces, resale platforms, regional ecommerce sites, social-commerce

Share of Search

How Can DTC Brands Use Search Demand to Detect Competitor Momentum Before Sales Data Changes?

DTC brands can observe sales, traffic, conversion, and revenue quickly. What those internal measures cannot show directly is how search

Customer Sentiment

How Do Retailers Use Competitor Reviews to Detect Product-Quality Signals and Candidate Assortment Needs?

Competitor reviews can tell retailers things that price, assortment, and availability data cannot. Customers describe products as too small, difficult

MAP Monitoring

How Do Electronics Brands Monitor MAP Violations Across Retailers and Marketplaces?

Key Takeaways Electronics brands can encounter the same product across major retailers, marketplaces, third-party sellers, regional storefronts, bundles, refurbished listings,

Home Improvement Price Monitoring

How Do Home Improvement Retailers Compare Prices When Pack Counts and Store-Level Pricing Differ?

Key Takeaways Home improvement prices are difficult to compare because the number displayed on a product page is often only

Furniture Product Matching

How Do Furniture Retailers Match Comparable Products When Names, Dimensions, and Materials Differ?

Key Takeaways Furniture retailers rarely describe comparable products in the same way. A sofa may be labeled “linen,” “performance weave,”

Retail Market Intelligence

Retail Market Intelligence: From Competitor Data to Pricing and Assortment Decisions

Retail teams usually understand their own business better than they understand the market around it. Internal systems can show sales,

Product Matching

Product Matching: How Ecommerce Teams Compare Products Without Shared SKUs

Key Takeaways Ecommerce teams cannot compare competitor pricing reliably until they know which products are actually comparable. That is straightforward