One demand view
Combine channel history, known demand and commercial inputs without hiding assumptions.
Demand planning + forecasting consulting
DataShip connects sales history, open orders, promotions, inventory, supplier lead times and operating constraints to build a repeatable forecasting and planning process for growing CPG brands.
Senior ownership, reviewable evidence and a practical operating handoff.
Business outcomes
DataShip begins with the operating problem, establishes the source evidence and builds only the controls the team can own.
Combine channel history, known demand and commercial inputs without hiding assumptions.
Translate the forecast into reorder, transfer, production and supplier decisions.
Track bias, error, overrides and service outcomes at the level where action is possible.
Define who reviews the plan, when it changes and how exceptions are escalated.
Delivery path
The exact sequence follows the scope, but ownership, validation and operational adoption remain visible throughout.
Map current forecasts, spreadsheets, calendars and decision ownership.
Choose the right grain, horizon, methods and business inputs.
Build governed data flows and decision-ready reporting.
Run the cadence, measure performance and improve the model.
Questions buyers ask
Not necessarily. DataShip can improve the operating process and data layer around the tools you already use before recommending a larger platform change.
Yes, with transparent assumptions using analog products, launch plans, distribution, price and scenario ranges rather than false precision.
Only when the customer approves that design. Many engagements begin with reviewable recommendations and controlled planning outputs.
Start with the problem
You do not need to know which platform, connector or project you need. Tell Benjamin what is breaking down, what your team is working around and what needs to improve. You will leave the first conversation with an honest view of the next step—even if DataShip is not the right fit.
Talk with Benjamin ↗