CASE STUDY
Inventory meets intelligence: How one distributor turned insights into impact
IMPACT SUMMARY
$
0
M
Operational Cost Savings
Annual savings from efficiency gains in procurement and warehousing
↑
0
%
On-Time Order Fulfillment
Improvement in delivery performance across B2B accounts
0
x
Forecast Accuracy
Increase in demand prediction precision across categories
0
K
SKUs Reallocated
Inventory repositioned based on predictive demand signals
Project Snapshot
A national wholesale distributor was grappling with outdated forecasting models, siloed
inventory data, and slow decision cycles. With over 10,000 SKUs across 14 regional
warehouses, they faced constant stockouts in high-demand zones while overstocking
slow movers. This led to missed sales, increased carrying costs, and unhappy customers.
Despite a robust ERP, decision-makers lacked real-time clarity into what was driving
inventory and order issues—and couldn’t act fast enough to correct course.
Our Solution
We designed a decision intelligence layer that unified sales, inventory, and logistics data
into a single, interactive command center. AI agents continuously modeled demand,
flagged anomalies, and simulated supply chain scenarios—enabling planners to adjust
forecasts and reorder points dynamically. With predictive insights surfaced through
intuitive dashboards, teams were empowered to act fast, minimize risk, and rebalance
stock in real time—transforming inventory into a strategic growth lever.
SERVICE MIX
Related Case Studies
Software Decision Intelligence
We gave SaaS teams a real-time brain—syncing product, support, and revenue signals to turn roadmap chaos into high-velocity, data-led execution.
Logistics Route Efficiency
In logistics, we turned routes into real-time revenue plays—connecting data across fleets to spot margin leaks, price dynamically, and move smarter at scale.
Move past the hype. Get real world results – fast.
Move past the hype.
Get real world results – fast.