Stories & Case Studies
How Landart Reduced Order Work and Errors with Grabb
How Landart used Grabb to process PDF and Excel orders, cut more than 30 hours of weekly order work, reduce validation errors by 65%, and move demand analysis from weekly to daily.
The short answer
Landart uses Grabb to process PDF and Excel orders, saving more than 30 hours per week, reducing order validation errors by 65%, and enabling daily demand and retail analysis because information capture and preparation are automated.
In this article
Landart needed order intake and demand analysis to keep pace with the volume of customer documents moving through the business.
PDF and Excel orders still required people to interpret lines, validate details and prepare information before the team could act. That manual work delayed analysis and created room for preventable errors.
The challenge: documents slowed every next step
When orders arrive as PDFs and spreadsheets, the work does not stop at capture.
Someone still has to:
- read the document
- validate customers, products and quantities
- prepare the information for the system of record
- assemble the inputs needed for demand and retail analysis
If that preparation stays manual, the team spends hours on work that should already be structured. Analysis also stays slower than the market.
From document intake to continuous operating signal
Grabb helped Landart turn PDF and Excel order processing into a more repeatable operating workflow.
Instead of rebuilding the same information by hand each week, the team could capture and prepare order data once, then use it for validation, fulfillment support and demand analysis.
That change mattered for two reasons:
- Order work became faster and more consistent.
- Demand and retail analysis could run on a daily cadence because the underlying information was already structured.
The results
Landart’s approved results with Grabb include:
- More than 30 hours per week saved on PDF and Excel order processing
- 65% fewer errors in the order validation process to date
- Daily demand and retail analysis instead of weekly, because information capture and preparation are automated
- Approximately 12 hours saved on multi-source data preparation, allowing analysis to run more frequently
The value is not only time returned to the team. It is a shorter path from incoming documents to decisions the business can act on.
The lesson
Order documents are not just paperwork. They are the input to fulfillment, inventory and demand decisions.
When capture and preparation stay manual, analysis stays late. When those steps become structured, the same team can validate orders more accurately and read demand more often.
That is the operating shift Landart made with Grabb: less time preparing the work, more time acting on it.
Visit Land Art at landart.ca.
Keep reading
Stories & Case Studies
How Cultivar Foods Uses Customer Behavior to Scale Sales and Demand
Cultivar Foods is growing about 30% year over year. With Grabb and QuickBooks Desktop, the sales team sells from actual customer behavior, product penetration and regional context instead of rebuilding account stories by hand.
Stories & Case Studies
How Cultures Chloris Scaled Retail Orders with Grabb
Cultures Chloris scaled Canadian retail orders by turning PDF and Excel purchase orders into structured QuickBooks Online workflows, saving 22 hours of manual order work each week.
Stories & Case Studies
How Pompco Turned Customer Data Into a Growth System
Pompco entered a mature market with an ambitious goal: dramatically increase sales without simply adding more people. The breakthrough came from knowing where customer penetration was low and which accounts were beginning to disengage.
From insight to action
Your data already knows what changed.
Grabb turns customer, product, order and operational signals into a prioritized list of what your team should do next.