We built SmartDS to solve the "walking problem" in dark stores and micro-fulfillment centers. In facilities over 400 sq.m, pickers often spend more time walking than actually picking.

We developed an AI-powered engine that:

Optimizes picking routes in real-time (reducing travel distance by up to 70%).

Uses parallel picking logic for multi-order fulfillment.

Generates heatmaps and layout recommendations based on SKU velocity and physical constraints (e.g., heavy items first).

It's hardware-agnostic and integrates via API. We’ve seen implementation go from months to about 4 weeks by mapping store layouts digitally first.

We’d love to hear your thoughts on the routing logic or how you’ve handled similar optimization problems in logistics.