Forecasts your planners can trust, and automated replenishment

Lower forecast error, including on hard-to-forecast product lines.
Less stock, fewer stock-outs: better stock turns, DIFOT and service levels.
Plan together: collaborate with customers and suppliers on forecasts, promotions, pricing and replenishment.

Complexica’s Demand Planner provides an integrated demand planning environment for manufacturers, distributors, and retailers. Our Demand Planner uses AI and advanced forecasting and optimisation techniques to help supply chain staff anticipate customer demand. With the help of our Demand Planner, businesses can plan inventory levels more effectively, reduce costs, and increase customer satisfaction.

Rather than using a pre-defined set of rigid models that are based solely on statistical methods, Complexica’s Demand Planner relies on a wide variety of predictive algorithms and techniques, including deep learning, that are tuned to your internal sales data as well as external sources and available overlays to improve accuracy. This moves demand planning & forecasting away from an anecdotal and “gut feel” approach, to a data-driven and market intelligence capability.

From a business process perspective, our Demand Planner considers capacity constraints and material availability to satisfy forecasted demand, while optimising for inventory levels, working capital, asset utilisation, labour & maintenance schedules, as well as buffering for variabilities in lead times and manufacturing processes. Powered by Larry, the Digital Analyst®, our Demand Planner can help you:

Reduce the forecast error associated with demand planning
Minimise the risk of lost sales due to stock-outs, as well as write-downs due to inventory obsolescence
Increase DIFOT and service levels to customers
Improve stock turns and decrease overall inventory levels
Readily adapt inventory to sudden changes in downstream demand or upstream supply
Go beyond traditional MRP by optimising and automating replenishment across time periods, product categories, lines, and individual SKUs using a number of best practice replenishment methodologies
Collaborate with customers and suppliers on forecasting, promotions, pricing and inventory replenishment through dedicated supplier and customer views
Understand the impact of changes in business rules and constraints (such as lead times, capacity constraints, required inventory levels, etc.)
Understand customer sales trends and patterns
Automate manual processes to eliminate human error and key man risk
Replace home-grown spreadsheets, which are often opaque and convoluted

Using inaccurate forecasts comes at a real cost. It leads to lost sales due to stockouts and compromised service levels to customers, especially on measures such as DIFOT and fill rates, as well as low inventory stock turns, stock obsolescence, and expedited shipping costs due to the wrong inventory being at the wrong place at the wrong time. Accurate demand forecasting, on the other hand, delivers optimised inventory (reduced stockouts and excess inventory), reduces the time and effort involved in planning inventory and replenishment, and results in improved financial planning and an improved customer fill rate.