Right part, slow response
Salespeople rely on catalogs, memory and internal queries to prepare proposals.
Signal: Long response times and knowledge concentrated in a few people.
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Privacy policyAI applied to industrial distribution
Industrial distribution combines technical catalogs, tied-up capital, consultative sales and logistics commitments. Magical organizes context and exceptions so salespeople can respond faster while keeping availability, cost and margin in view.
Magical Applied AI consulting for Industrial distribution Brazil

Evidence
At Profil, forwarding orders to production went from up to 72 hours to minutes.
View the case study03 / Industrial distribution
Salespeople rely on catalogs, memory and internal queries to prepare proposals.
Signal: Long response times and knowledge concentrated in a few people.
Turnover, stockouts and purchasing compete without a shared view of demand.
Signal: Excess slow-moving items and shortages of critical parts.
Deadlines, documents and availability change after the promise is made.
Signal: Rework across sales, parts and logistics.
Answer questions about applications, compatibility, availability and terms with traceable sources.
What we assess at the start: Accessible catalogs, commercial rules and inventory.
Combine history, orders and seasonality to prioritize purchasing and transfers.
What we assess at the start: Consistent SKUs and historical data.
Compare prices, deadlines and terms without rebuilding each quote manually.
What we assess at the start: Supplier database and procurement policy.
Read documents, check orders and prepare exceptions for review.
What we assess at the start: Document templates and acceptance criteria.
Bring credit limits, terms and contribution margins into sales decisions.
What we assess at the start: Approval levels and a reliable financial source.
Projeto em destaque · Manufacturing
Less waiting between sales and production, with automated CRM records and quotes.
Up to 72 h → minutes
from signed order to production entry
01
We interview decision-makers and operators to map processes, data, exceptions and costs before suggesting tools.
02
We prioritize an opportunity by expected return, feasibility and risk. We agree on responsibilities and how to measure results before starting.
03
We implement, monitor real usage and measure process changes before expanding the portfolio.
No. It organizes catalogs, history and rules to make knowledge more accessible and leave exceptions to the people who understand the application.
No. Initial workstreams can operate within internal sales, parts, procurement or shipping workflows.
Integration is chosen after understanding the workflow. APIs, exports, controlled read access and interface automation are options, not assumptions.