Crosspoint Integration for ARAMIS

Usecases to integrate with Kairos algorithm endpoints

• AI Picker Route – Dynamic travel distance optimization.

• Load Batches (load assigner into distance optimized , weight/volume constrained cubes)

• AI Pick Batch – Distance optimized pick batches.

• Dynamic Slotting – AI optimized storage assignment.

• Dynamic Dock Assignment – AI Generated loading station

DC Onboarding

Input Data for onboarding & Digital twin creation

1. DC Floor map

2. All coordinates (Pick locations)

3. Load batch constraints

   1. Load wieght distribution for the "cubes"

   2. Load volume distribution for the "cubes"

4. Example load orders(pick mission) ( -> Create pick batches within each load cube)

   1. PersoanaID

   2. Cod Mutare

   3. Cod Palet ID -> merge with with length , width, height , weight & CDT data

   4. Data Mutarii (optional)

   5. Sursa

   6. Destinatie

   7. CodProdus (optional)

5. Pick batch constraints

   1. CDT 1600 kg for Forklift

   2. 136 cm length ( fork lengtth is 120 but max 136 as load length)

Data for Analytics(qlikSense)

• Pick Mission data acess for

• Product databse access qlickSense

• Persoana table