Ahold is a supermarket retailer operating in the Netherlands, Belgium, and Germany, providing a variety of grocery and household products.
Automate sales and inventory reports from Ahold Vendor Portal
Connect to Ahold Vendor Portal and 100s of other retailer, ecommerce and supply chain partner data portals — even your own ERP — and bring in normalized sales and inventory data as soon as it's available.
Analyze Ahold point-of-sale trends and easily drill down to the store, location and SKU level to spot opportunities and fix problems.
Respond in seconds instead of days to reduce out-of-stocks, find sales opportunities, execute better launches and promotions and more.
Power your replenishment, inventory, promotion and planning decisions by piping POS-data into your data warehouse or existing BI, planning or TPM tool.
Connect to Ahold Vendor Portal and 100s of other retail partners
Alloy.ai automatically ingests and normalizes point-of-sale data from your retail and ecommerce partners — down to the location / store / SKU level — saving you time and making it easy surface insights to grow sales.
{{ locationType }}
Brick and mortar sales, inventory, forecasts
Online sales
Orders, shipments, and inventory at DCs
Integration-specific
{{ marketing_name }}
Available {{ interval }} Data in Alloy
{{ locationType }}
{{ metric }}
How customers use Alloy.ai
Instant dashboards and metrics from your Ahold data
Advanced machine learning forecasts, simulations and out-of-stock prevention algorithms power a set of advanced CPG-specific metrics you’ll only see in Alloy.ai
Integrate Ahold data into your favorite applications
Alloy.ai an open platform, letting you automatically integrate data from retailer portals, ecommerce sites, supply chain partners and even your ERP into the leading BI, planning applications, ELT/ETLs and databases you already use.
Automate sales and inventory reports from Ahold Vendor Portal and 100s of other sources
Alloy.ai is purpose-built for consumer brands. You’ll save hundreds of hours per year with our platform that automatically maps retailer supply chain networks, translates across how partners describe products, time and measurement, and combines POS data with your ERP to give you accurate and actionable inventory recommendations.
Surface opportunities to grow sales at Ahold and other retailers
Gain a granular understanding of your omni-channel POS sales trends at Ahold and highlight changes since the last reporting period. Compare performance across retailers and time horizons to answer complex questions. Alloy.ai gives you hundreds of CPG-specific metrics — like lost sales and phantom inventory — to give you a complete view of your sales performance.
Spot inventory problems at Ahold before they become sales problems
Alloy.ai combines your internal network inventory with Ahold and distributor inventory data, giving you a complete picture of your inventory levels today and what they are going to be. You’ll get alerted of upcoming inventory shortages or excess supply so you can address issues proactively.
“We were able to use Alloy.ai to look at phantom inventory — and look at where need to be more intentional with our inventory — and we were able to drive $4 million in sales.”
Alison Jones, VP of Operations
“Alloy.ai gives us a complete global view of our business, across all accounts and all regions … It has allowed us to build trust with our retailers.”
Dave Henderson, Chief Commercial Officer
"Realtime POS data. Easy to navigate interface."
“Alloy is a fantastic platform to consider for retail analytics needs. Has taken our sales tracking & performance measurement to the next level!”
"Digest a huge amount of data from multiple retail accounts."
“I used to spend hours each week aggregating POS data … This is now automated, so I can go straight into analyzing trends.”
"Saved me several hours per week."
“Reduces the likelihood of manual error occurring from manipulating raw data. I have not yet found anything that I dislike about Alloy.ai”
"Streamlined Reporting for Data-Driven Analytics."
“Easy access to retailer forecasts that I can use to work back with our retail partners on trend analysis and variances”