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Intelligent Capacity Planning

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Demand moves every week. Driver numbers do not. Build the engine that turns expected demand into the right drivers, in the right place, at the right time.

Delivery companies can see roughly how busy the next three months will be, store by store. What nobody can work out is how many drivers that actually needs. So the call gets made by hand. Planners estimate how many couriers each store needs, day by day and hour by hour. They decide when to start hiring, and when to bring in outside couriers instead. It rests on experience rather than data, and it misses the things that move the answer: some stores are simply more productive than others, some areas take longer to cover, and people take leave. Get it wrong and it shows up fast. One store ends up overstaffed while another runs short. Costs climb on one side, deliveries run late on the other, and customers feel both. Hiring is the slowest lever of all, since a permanent courier can take two months to arrive. 7X is looking for a planning capability that turns expected demand into clear staffing and hiring recommendations, and keeps updating them as demand shifts.