Overview

Automate the daily or weekly deployment of inventory across plants and distribution centers. Replace manual planning with governed rules that move stock where it has the highest service impact.

Problems We Solve

• Fragmented decisions across markets/sites

• Manual spreadsheets and late reallocations

• Over/under‑stocking and reactive firefighting

What You Get

• Rule‑based deployment engine (priorities, minimums/maximums, lead times)

• Parameter files with governance and version control

• Exception list for shortages, overrides, and constraints

• Deployment plan ready to upload to ERP

• Power BI dashboards: deployment plan, service risk, and stock position

Inputs / Outputs

• Inputs: site/DC stock, demand signals, lead times, constraints, business priorities

• Outputs: deployment plan (by SKU/DC/week/day), exception list, BI‑ready dataset

How success looks like

• 80-95% of product/location decisions fully automated

• 80% of time saved on inventory deployment tasks

• Better inventory balance across DCs (less oversupply/stockouts)

Typical Timeline

• Pilot: 3–7 weeks to first production run

• Scale: 1–3 weeks per additional market/site

FAQs

• FAQ: “Can local planners adjust priorities?” → Yes, planners can see the plan with all the data to enable decision making and change the priorities before final output.