ADAPTIXAI FOR BUSINESS

AI search across CSV and XLSX catalogues

Table headers and rows remain present in retrieval context, so the assistant can suggest candidates and show the file, sheet and row range behind the result

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WHAT THE PROJECT DELIVERS

A useful customer journey, not just generated replies

Part numbers and table structure

Column headers accompany indexed rows, preserving the meaning of codes, names, specifications, prices and other fields

Natural-language requests

Customers do not need the exact item name: semantic retrieval finds related candidates and keyword search strengthens precise matches

One universal document workflow

A catalogue can be compared with a proposal or requirements list. The assistant matches items, calculates available quantities and shortages from table data, and explains the results using project policies

LAUNCH PROCESS

From a business goal to a working channel

01

Upload a current catalogue

The owner adds CSV, TSV or XLSX to the selected project knowledge base

02

Receive customer requirements

The customer describes the need in text or sends a supported file containing items and conditions

03

Review candidates and sources

AI compares the retrieved passages and identifies the file, sheet and rows that should be verified

FAQ

Common questions

Does CSV with non-English content work?

Yes. Encoding is detected safely and header-based CSV and TSV are supported; invalid or unsupported files return a clear error

Is a perfect match guaranteed?

No. Quality depends on the table and the request. AI proposes relevant candidates and sources, while a person should confirm material commercial decisions

Is this only for commercial proposals?

No. A catalogue and proposal are one example. The same retrieval works for assortments, reference tables, price lists, requirements and other structured data

READY TO PUT AI TO WORK?

Build your first AdaptixAI project

Configure knowledge and character, connect your website or Telegram, and launch an AI channel ready for real customer conversations

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