Inventory Forecasting Software for Retail

Let your AI agent analyze your sales data and suggest what to order next—no more late nights with Excel or guessing what will sell. Focus on your customers while the agent handles the math.

You spend hours each week as a retail manager wrestling with Excel, trying to predict what to order for next month. Pulling reports from Square or Lightspeed, you second-guess every number, knowing a wrong call means empty shelves or wasted cash. The stress of manual inventory planning leaves you with less time for your team and customers.

An AI agent that analyzes sales data and recommends precise inventory orders for retail managers, reducing overstock and stockouts.

What this replaces

Export sales data from Square into Excel for manual analysis
Calculate order quantities by hand for each SKU
Estimate event or holiday impact on demand using old reports
Compile weekly inventory summaries for management in Google Sheets
Compare different ordering scenarios without clear data

The hidden cost

What this is really costing you

In retail, store managers and buyers often juggle manual inventory planning by exporting sales from Square or Shopify, then crunching numbers in spreadsheets. This repetitive process eats up valuable hours and leads to frequent mistakes—especially during busy seasons or promotions. Relying on gut instinct instead of data means you risk missing sales or tying up cash in unsold stock. The cycle of guesswork and manual entry holds your business back.

Time wasted

3 hrs/week

Every week, burned on work an AI agent handles in minutes.

Money lost

$4,700/year

In salary, missed revenue, and operational drag — annually.

If you keep ignoring it

Ignoring the problem leads to frequent stockouts, cash lost in unsold inventory, and frustrated customers who may not return. Over time, these mistakes erode profit margins and damage your store's reputation.

Cost estimates derived from U.S. Bureau of Labor Statistics occupational wage data and O*NET task analysis.

Return on investment

The math speaks for itself

Today — without agent

3 hrs/week

of manual work

$4,700/year/ year

With your AI agent

30 min/week

agent-handled

$390/year/ year

You save

$4,310/year

every year, reinvested into growing your business

Estimates based on U.S. Bureau of Labor Statistics median salary data and O*NET task importance ratings from worker surveys. Time savings assume 80% automation of eligible task components.

Jobs your agent handles

What this agent does for you

Complete jobs, handled end-to-end — so your team focuses on what matters.

Plan Next Month’s Inventory

You ask your agent to review last quarter’s sales and suggest how much of each item to order for next month.

React to Sudden Sales Spikes

You ask your agent to analyze a recent sales surge and recommend immediate restocks.

Prepare for Promotional Events

You ask your agent to estimate demand for an upcoming sale and advise on quantities to order.

Evaluate New Product Launches

You ask your agent to predict initial demand for a new product based on similar launches.

How to hire your agent

1

Connect your tools

Link your point-of-sale, data entry, and reporting tools to provide the agent with up-to-date sales and inventory data.

2

Tell your agent what you need

Type: 'Analyze last 3 months of sales and recommend order quantities for next month’s inventory.'

3

Agent gets it done

The agent delivers a detailed demand forecast and suggested order amounts for each product, ready to review or share.

You doing it vs. your agent doing it

Export data, build charts in spreadsheets, and look for patterns yourself.
Agent reviews data and highlights key trends instantly.
1 hr/week
Manually crunch numbers and estimate how much to order.
Agent recommends precise quantities based on recent trends.
30 min/week
Estimate impact of sales or local events by hand, often guessing.
Agent factors in events and promotions automatically.
20 min/week
Compile data into reports for your team, often after hours.
Agent generates clear, ready-to-share reports instantly.
20 min/week

Agent skill set

What this agent knows how to do

Sales Data Analysis

Pulls transaction history from Shopify or Square and generates demand forecasts for each product line.

Order Quantity Calculation

Examines recent sales and recommends exact reorder amounts to prevent overstock and avoid running out.

Event Impact Adjustment

Considers upcoming promotions or local events and adjusts predictions for expected sales spikes or drops.

Automated Inventory Reporting

Creates clear, shareable reports summarizing forecasts and suggested orders for your team or store owner.

Scenario Simulation

Compares different ordering strategies side-by-side, showing the likely outcomes before you place an order.

AI Agent FAQ

Yes, your AI agent connects directly to Square, Shopify, and Lightspeed Retail via secure API. You don't need to change your current setup—just link your account and the agent will access your sales records automatically.

You can tell the agent about upcoming events, holidays, or promotions, and it will adjust its forecasts accordingly. The agent factors in past seasonal trends and current market conditions to provide tailored recommendations for each scenario.

All data is encrypted in transit using TLS 1.3 and never stored after processing. The agent only accesses the information you authorize, and no customer data is retained after your request is complete.

The agent bases its forecasts on your real sales history, current inventory, and any event details you provide. While not infallible, it significantly reduces manual errors and guesswork compared to spreadsheet planning.

No, you can use the AI agent for one-off inventory forecasts or as often as you like. There are no recurring fees or long-term contracts—just pay per use.

This agent is built specifically for retail managers, integrating with POS systems like Square and Shopify. It understands the unique challenges of retail inventory planning and provides actionable, data-driven order recommendations.

See how much your team could save with AI

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