Skip to content
Bilgi AI
Seferi
Operations

Run Operations on a Plan, Not a Guess

Optimise the day for your delivery and field teams with planning that respects vehicle capacity, time windows and your priority rules.

Core problem it solves

When routes are planned from experience alone, deliveries per vehicle drop and fuel and overtime costs become unpredictable.

The Interface

A real capture of the product, not a mockup.

Seferi — Route Optimization

The solution builds the daily operating plan from order, vehicle, driver and time-window data. When something changes mid-day — traffic, a cancellation, an urgent job — the plan is recalculated and pushed to the field. The planner stays in control at every step: the system proposes, you approve and adjust.

Problems It Solves

  • Route planning depends on individual experience, so results are inconsistent.
  • Cancellations and urgent jobs force manual replanning during the day.
  • Vehicle utilisation stays low and empty return trips add up.
  • Delivery windows cannot be communicated to customers with confidence.

Key Features

Constraint-based planning

Vehicle capacity, driver hours, time windows and territory rules are all part of the plan.

Intra-day replanning

Routes are recalculated quickly after cancellations, delays or new requests.

Delivery window notifications

Customers receive an estimated window and an update if it shifts.

Field team view

Drivers and technicians see the day as an ordered task list.

Scenario comparison

Test different fleet sizes or shift patterns and compare the outcomes before committing.

Operational reporting

Planned versus actual is reported so the cause of deviations can be traced.

Benefits

Better use of resources

Vehicle and crew capacity is distributed more evenly across the plan.

Faster planning

Hours of manual work shrink and the plan is ready before the day starts.

Predictable customer experience

Delivery windows become something you can share and track.

Measurable operations

Plan-versus-actual comparison makes improvement areas visible.

Use Cases

Urban distribution

Daily routes are generated automatically for dense delivery areas.

Field service and maintenance

Technician appointments are planned around skills and location constraints.

Time-window delivery

Plans respect the slots customers selected.

Seasonal peaks

Additional vehicle needs for campaign periods are calculated in advance.

How It Works

  1. 1

    Capture operating constraints

    Vehicle, crew, territory and time rules are collected from your current operation.

  2. 2

    Connect the data

    Data flows from your order management and fleet tracking systems are established.

  3. 3

    Build the planning model

    Priorities and objectives are defined, and first plans are compared with current results.

  4. 4

    Roll out to the field

    We pilot in one region, then widen the scope.

Which Industries Is It For?

Logistics

Example scenario

40 vehicles, 6 hours of driving a day, 10% off-route

→ ~7,200 wasted driving hours a year

3 recommended solutions
Go

Retail

Example scenario

80 stores, 15 minutes of head-office correspondence each per day

→ ~400 hours a month

3 recommended solutions
Go

E-Commerce

Example scenario

500 support requests a day, 60% asking about order status

→ ~9,000 repeat questions a month

3 recommended solutions
Go

Healthcare

Example scenario

400 appointment calls a day, 25% unanswered at peak hours

→ ~3,000 missed booking requests a month

3 recommended solutions
Go

Automotive

Example scenario

12 service points, 60 booking calls a day, 20% unanswered

→ ~4,300 missed calls a month

3 recommended solutions
Go

Frequently Asked Questions

Does it work with our fleet tracking system?
It integrates with tracking and order management systems that support data exchange. The scope is confirmed during discovery.
Can planners override the result?
Yes. The system proposes a plan; planners can move, lock or manually edit any task.
How are intra-day changes handled?
When a cancellation, delay or new request is entered, the plan is recalculated and affected tasks are pushed to the field.
What fleet size is this suitable for?
It scales from small fleets to multi-region operations. The right setup depends on the size of your operation.
How do we measure the results?
Planned and actual distance, duration and delivery counts are reported side by side, using your pre-pilot baseline as the reference.

Request a Demo for This Solution

Fill in the form and we will plan a demo around your needs.

Related Solutions

Process Automation

Automate repetitive steps and customer communication end to end so every request reaches the right person on time.

Set Up Your Request Flow

Call AutomationCalling AI

Answer, route and record inbound and outbound calls with AI assistants that hold a natural conversation.

See the Call Flow

Let's Review Your Processes Together

In a short call we listen to your needs and share the right solution and a deployment plan.