Alloy AI

Alloy AI

Supply chain and sales analytics platform

About Alloy AI

Simplify's Rating
Why Alloy AI is rated
B-
Rated D+ on Competitive Edge
Rated A on Growth Potential
Rated B on Rating Differentiation

Industries

Data & Analytics

Enterprise Software

Consumer Goods

Company Size

51-200

Company Stage

Series A

Total Funding

$14.9M

Headquarters

San Francisco, California

Founded

2016

Overview

Alloy.ai offers a platform designed for consumer goods brands to enhance their supply chain and sales operations. The platform provides real-time visibility into inventory and shipments, along with analytics that track sell-in and sell-through data, allowing businesses to respond quickly to demand changes. Unlike competitors, Alloy.ai bridges the gap between planning and execution with a control tower solution that integrates supply chain and sales processes. The goal is to empower brands to improve operational efficiency and avoid lost market share.

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Simplify's Take

What believers are saying

  • Alloy.ai's clients report a 35% reduction in out-of-stocks, boosting sales.
  • The Retail Analytics Market is projected to grow at a 24% CAGR until 2029.
  • Alloy.ai's partnership with WM Barr strengthens its retail relationships and sales capabilities.

What critics are saying

  • Increased competition from Hypersonix and Maiven could erode Alloy.ai's market share.
  • Rapid market growth may attract new entrants, intensifying competition for Alloy.ai.
  • Competitors' AI advancements could outpace Alloy.ai, affecting its technological edge.

What makes Alloy AI unique

  • Alloy.ai offers real-time SKU-store level insights for consumer goods brands.
  • The platform integrates 850+ pre-built connectors for comprehensive data visibility.
  • Alloy.ai's predictive AI features enhance demand forecasting and inventory management.

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Funding

Total Funding

$14.9M

Below

Industry Average

Funded Over

2 Rounds

Series A funding typically happens when a startup has a product and some customers, and now needs funding to scale. This money is usually used to grow the team, expand marketing, and improve the product. Venture capital firms are frequently the main investors here.
Series A Funding Comparison
Below Average

Industry standards

$15M
$8.2M
Discord
$12M
Alloy AI
$15M
Canva
$100M
GitHub

Benefits

Hybrid Work Options

Paid Vacation

Growth & Insights and Company News

Headcount

6 month growth

3%

1 year growth

5%

2 year growth

3%
PYMNTS
Dec 15th, 2024
Genai At Retail: New Technology Upgrades For Inventory And Demand Forecasting

01 A lack of real-time inventory visibility and difficulties in accurately predicting shopper demand often result in overproduction, excess stock or critical shortages — all of which have a direct and detrimental impact on profitability. 02 GenAI is transforming inventory management by enabling accurate demand forecasting, optimized stock levels and streamlined replenishment processes. Solutions like Alloy.ai, Hypersonix and Maiven provide real-time tools that empower retailers to make data-driven decisions and respond swiftly to market changes. 03 If managing inventory is retail business managers’ top priority, delivering personalized shopping experiences is a close second. Offering consumers exactly what they want can drive sales, but it also demands precise control over stock levels to ensure a seamless and satisfying customer experience. Personalized offers fall flat without available inventory

PR Newswire
Mar 28th, 2024
Retail Analytics Market Worth $25.0 Billion By 2029 - Exclusive Report By Marketsandmarkets™

CHICAGO, March 28, 2024 /PRNewswire/ -- Adoption of real-time capabilities and sophisticated analytics, such as artificial intelligence, for omnichannel integration and improved customer experiences is what the Retail Analytics Market will look like in the future. Partnerships for innovation, a rising emphasis on sustainability and ethical analytics, supply chain optimisation, in-store analytics, and a focus on data privacy and security will all be critical.The Retail Analytics Market is projected to grow from USD 8.5 billion in 2024 to USD 25.0 billion by 2029, at a compound annual growth rate (CAGR) of 24.0% during the forecast period, according to a new report by MarketsandMarkets™. The Retail Analytics Market is expected to grow significantly during the forecast period, owing to various business drivers like the increasing increasing adoption of omni-channel retail strategies, exponential growth of e-commerce platforms, and proliferation of data generated through diverse channels is also responsible for driving the market's growth.Browse in-depth TOC on "Retail Analytics Market"300 - Tables75 - Figures310 - PagesDownload PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=123460609Scope of the ReportReport Metrics Details Market size available for years 2019–2029 Base year considered 2023 Forecast period 2024–2029 Forecast units USD (Billion) Segments Covered Offering, Business Function, Application, End User, and Region Geographies covered North America, Asia Pacific, Europe, Middle East & Africa, and Latin America Companies covered Microsoft (US), IBM (US), SAP (Germany), Oracle (US), Salesforce (US), MicroStrategy (US), SAS Institute (US), AWS (US), Qlik (US), Teradata (US), WNS (India), HCL (India), Lightspeed Commerce (Canada), RetailNext (US), Manthan Systems (India), Fit Analytics (Germany), Trax (Singapore), ThoughtSpot (US), RELEX Solutions (Finland), Tredence (US), Creatio (US), Solvoyo (US), datapine (Germany), Sisense (US), EDITED (UK), Retail Zipline (US), ThinkINside (Italy), Dor Technologies (US), Triple Whale (Israel), Flame Analytics (Spain), Alloy.ai Technologies (US), Conjura (UK), Kyvos Insights (US), Pygmalios (Slovakia), and SymphonyAI (US)By Software by analytics type, the predictive analytics segment to register for the largest market size during the forecast period.By software by analytics type, the predictive analytics segment is expected to register the largest market size during the forecast period. Predictive analytics software can help forecast sales volumes, identify demand fluctuations, and predict customer preferences, enabling retailers to optimize pricing strategies, allocate resources efficiently, and tailor marketing campaigns to target specific customer segments. Recent advancements in predictive analytics technology, including the integration of AI and machine learning algorithms, have further enhanced the capabilities of predictive analytics software, enabling retailers to gain deeper insights, make more accurate predictions, and drive greater business value.Request Sample Pages@ https://www.marketsandmarkets.com/requestsampleNew.asp?id=123460609By services, managed services to register for the highest CAGR during the forecast period.The managed segment of the Retail Analytics Market is growing rapidly. Managed service providers (MSPs) offer tailored solutions that cater to the unique needs and challenges of retailers, delivering insights that drive operational efficiency, enhance customer engagement, and drive revenue growth

Yahoo Finance
Feb 13th, 2024
Alloy.ai Partners with WM Barr to Transform Its Sales Capabilities and Retail Relationships

SAN FRANCISCO, February 13, 2024-(BUSINESS WIRE)-Alloy.ai, the omnichannel revenue intelligence platform for consumer goods brands, today announced that WM Barr, maker of leading products for the home improvement and automotive repair industries, has selected Alloy.ai to enhance its ability to identify new sales opportunities, respond more quickly to changes in demand and strengthen key retail partnerships.

PYMNTS
Dec 21st, 2023
Toolsgroup And Ntt Data Partner On Supply Chain Digital Transformation

ToolsGroup and NTT Data partnered to help organizations in their supply chain digital transformation. The partnership brings together ToolsGroup’s retail and supply chain planning and optimization software and NTT Data’s information technology and business services, the companies said in a Wednesday (Dec. 20) press release. “NTT DATA’s supply chain consulting practice is built on fact-based strategies that leverage the analytics, expertise and market intelligence that help organizations thrive amid volatility,” Neelesh Asati, vice president of supply chain consulting at NTT Data Services, said in the release. “In ToolsGroup, we found a partner whose technological prowess and supply chain experience complements our own drive to help companies understand the impacts, nuances and benefits of supply chain management in this new commercial landscape.”

Newswire
Nov 16th, 2023
Alloy.Ai Drives 35% Yoy Forecast Accuracy Improvement At Ember

Press Release •Alloy.ai’s software also helps Ember drive inventory efficiency, scale its access to retail point-of-sale data, and align internal functions around a single source of truth for sales, inventory and demand planning.Alloy.ai, an AI-powered software platform that helps consumer brands increase revenue by letting them rapidly sense and adjust to changes in consumer demand and supply chain disruptions, announced today that Ember, a global temperature control brand and technology platform, is using Alloy.ai to get real-time visibility into consumer demand for better planning and retail execution. Ember, a leading design and technology company that previously pioneered the world's first temperature control mug, has found that since adopting Alloy.ai, forecast accuracy has improved by 35% year-over-year — driving a substantial increase in value through inventory efficiency.“Previous to Alloy.ai, forecasting was a bad pain point for us. Last year, our best accuracy month was 60% attainment of our forecast,” said Zachary Horton, director of logistics, supply and demand planning at Ember. “This year, with Alloy.ai fully implemented, we’re tracking 95% based on the point of sale.”Since the adoption of Alloy.ai, the company now bases their demand planning on actual consumer demand data, mitigating the risk of out-of-stocks or excess inventory. As a result of this 35% improvement in forecast accuracy, Ember reports a significant return on investment — a 67X multiplier on the cost of Alloy.ai software. These savings take the form of:Inventory efficiency: Prior to Alloy.ai, Ember set sales targets “top down” — a common practice in which the planning, manufacturing and sales team are given a target to sell-in to retail

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