Our Product
We provide tools that automate non-value-added manual data chasing so key users and managers will have time to apply their knowledge.

It's an Extract, Transform and Load (ETL) process that makes no changes to the customer's existing system and requires no data entry. The process is customer order driven (work the plan) as opposed to projection driven (plan the work) and the steps are:
  • Extract
    • Pull Host ERP demand and supply data
  • Transform
    • Convert to OTTO terminology
    • Substitute/modify data
  • Load
    • Post to the OTTO database
Planning is top down item-by-item, but manufacturing is bottom-up by production unit to satisfy shipping units, and coordination is key. OTTO sorts through the ERP data, all demands and all supplies, and creates a work file of indented soft linkages between demands and supplies. This way, there's a direct link from each and every material and component requirement back to the customer order or specific product where it will end up. As a result it becomes obvious where everything is going and what activities lead to which products and shipments and to find those (perhaps few) activities that might delay an entire shipment.

Making plans happen isn't just about material, supporting activities can be the real cause of delays. Some non-material events customers have monitored using OTTO include:
  • Outside services (such as heat treating and plating)
  • Q/A for pharmaceuticals and inspection
  • Moving off-site inventory to the plant
  • Moving inventory from temporary (conveyer) location to pickable location
  • Overseas containers
  • Design engineering for make-to-order
OTTO provides the ability to proactively manage the entire customer order backlog from top to bottom. It begins monitoring orders as soon as they’re booked and identifies and prioritizes those critical events that must happen every day so they can be managed and get orders produced and shipped on time.

As stated earlier, this dramatically improves the effectiveness of planners, schedulers, buyers and production supervisors (knowledge workers) by virtually eliminating manual data mining so they spend more time applying their knowledge to analyzing, coordinating and communicating; working the plan so commitments are met.

More info about Slippage
Introduction to slippage. Detailed discussion of the slippage prevention process.