AI-assisted industrial engineer
Self-Opt
Akılkent handles the routing decision; Self-Opt carries the same approach to a business's other decisions: inventory, queues, demand forecasting and repetitive work. You describe the problem in everyday language, and the calculation is done by proven industrial engineering methods. For small and medium businesses, with no technical knowledge required.
Used standalone in the browser, or connected by API to ERP systems such as SAP, Logo and Mikro.
Which decisions does it handle?
When, and how much, should I order?
Inventory optimization
From monthly sales, lead time and ordering cost it computes the optimal order quantity and the reorder point; change the parameters and see the scenarios instantly.
How long are your customers waiting?
Queue management
At the till, in the waiting room or on the production line: from hourly arrivals and service time it computes how many tills, counters or machines are needed and the average waiting time.
How much will you sell next?
Demand forecasting
Detects seasonality and trend in past sales data; gives forecasts and confidence intervals for the coming week, month and year.
Get rid of the drudgery.
Process automation
Hands repetitive work such as invoice entry, report compilation and e-mail classification to AI agents; asks for your approval only in exceptional cases.
How does it work?
Five steps. The AI works in the first two, the calculation in the fourth; the two never mix. This is the principle Akılkent applies to route planning as well: the result is a calculation, not a conversational guess.
You describe
You write the problem in your own words.
The AI understands
It decides which method is needed and asks for missing information.
Validation layer
Data passes unit, logic and range checks; faulty data never reaches the calculation.
Deterministic engine
The calculation runs in pre-written, tested code. The AI does not touch this step.
Result and explanation
The result is explained in plain language; you compare scenarios instantly.