From forecast to freight, in one place.

What will we need, and when do we run out?

• Stock cover per item, net of committed customer demand and inclusive of what is already shipping
• A month-by-month arrival calendar with the projected stock-out date for every item
• Reorder recommendations from your own lead times, safety stock and service levels
• Visible formulas — every calculated number reads from one page you can inspect and change
• Consumption history kept month by month, with closed years baked into annual averages

Procurement Control Tower — Calendar

Who supplies it, at what price, approved by whom?

• A full RFQ round — list the requirement, invite suppliers, capture every quote, compare them, split the award
• Landed cost, not unit price — quotes in each supplier's own currency, compared on what the goods actually cost to get here
• The award reasoning is kept with the award, so a split decision can be explained later
• Approvals enforced by the database, not by hiding a button in the interface
• A follow-up thread per open order: what was promised, by whom, and when to ask again

Procurement Control Tower — Sourcing

Where is it, what did it cost to land, and who was late?

• Dispatch schedules per purchase order, with the arrival date derived from dispatch plus real transit time by route
• Delay penalties computed, not argued about — measured against the original commitment, at your contracted rate, in the order's own currency
• A freight cost model fitted from your own historical trips, rather than a rate card that was already out of date when it was written
• Dispatches, forwarders and combined transporter invoices reconciled in one place
• Delivery notes indexed and matched back to the shipment they belong to

Procurement Control Tower — Schedules

What did we promise customers, and at what price?

• Customer quotations built from the same item and cost data the buying side uses
• Region-aware pricing settings, so a quote to one market does not silently use another's assumptions
• Committed customer demand feeds straight into the Cockpit: what you have sold is netted off what you have, before the reorder decision is made
• Quotes export as formatted workbooks ready to send

Who decided what, on what evidence?

• Run the review inside the app — actions get an owner and a date instead of evaporating when the meeting ends
• A decision trail per item, kept with the numbers that were on screen at the time
• Snapshot replay: see any past week exactly as it looked, frozen
• Read-only analytics across procurement, logistics and sales, from data already in the system
• Roles and capabilities per person, resolved by the database rather than trusted from the browser
• A sandbox for trying a change against real data without committing it

Procurement Control Tower — Analytics