Nakie streamlines inventory and fulfillment with AI

The problem

Outdoor brand Nakie uses AI to forecast demand and fulfill orders faster, improving customer experience and reducing stockouts.

The AI solution

Nakie, a fast‑growing outdoor brand, needed to keep popular products in stock without over‑ordering. Manual forecasting struggled during peaks.

They introduced AI‑assisted forecasting and fulfillment planning, aggregating sales, seasonality, and campaign calendars. The team reviewed suggestions weekly and adjusted purchase orders.

Impact: fewer stockouts and faster fulfillment with the same staff. Read the coverage for more detail.

SMB takeaway: start by centralizing your demand data, then pilot AI on one product line. Measure stockout rate and delivery times.

Talk to us about retail ops.

Results & metrics

• 10–15 hours saved per week
• 20–30% faster cycle times
• Lower error rates and fewer escalations

Lessons for SMBs

• Start small: pilot one workflow and measure it rigorously
• Blend heuristics with ML for quicker wins and safer rollout
• Train staff and bake new steps into SOPs to lock in gains

Learn more

Read the full case study: InsideSmallBusiness: How SMEs are using AI

Looking for help to implement similar results? See our services.