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Metreecs

AI-powered demand forecasting for retail

Fall 2024active2024Website
Machine LearningRetail TechAI
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Report from 2 months ago

What do they actually do

Metreecs is a SaaS tool that turns a retailer’s sales and inventory data into store‑ and SKU‑level demand forecasts and concrete actions: what to buy, when to reorder, and how to move stock between locations. The product centers on three modules—Buying, Reordering, and Rebalancing—plus a “control tower” view that centralizes signals and recommendations so planners can review and execute decisions in one place Metreecs platform.

Retail teams connect POS/ERP/inventory feeds, Metreecs ingests historical data (and external signals) and trains forecasts, and then surfaces recommended buys, replenishment, and transfers. Customers can approve recommendations in‑app or automate routine decisions. The company positions integrations with common ERP/POS systems and notes typical onboarding in 2–4 weeks, along with data security assurances Metreecs home & platform About/security. Metreecs reports early use by retailers in Europe and the U.S., with company‑reported impacts like fewer overstocks/stockouts and modest sales uplift; pricing is handled via sales rather than a public list price LinkedIn announcement startup coverage eCommerceTech listing.

Who are their target customer(s)

  • Head of Buying / Merchandise Planner at a multi‑store apparel or specialty retail chain: Spends hours in spreadsheets because store‑level demand is noisy and uneven, leading to overorders in some locations and stockouts in others.
  • Inventory or Operations Manager at a grocery or FMCG chain: Must reorder perishable or fast‑turn items frequently without reliable short‑term forecasts or store visibility, causing waste, emergency orders, and missed sales.
  • E‑commerce operations manager running omnichannel with multiple fulfillment centers: Struggles to keep online and in‑store inventory balanced; slow demand shifts leave stock in the wrong warehouse and shortages where customers are buying.
  • Regional retailer / expansion lead opening new stores or entering new countries: Buying decisions don’t scale easily; each new location requires setup, local demand tuning, and integrations, making launches slow and error‑prone.
  • Wholesale/B2B planner at a brand selling in bulk to many retailers: Opaque reorder patterns and manual allocations/timing across clients create stock imbalances and lost revenue opportunities.

How would they acquire their first 10, 50, and 100 customers

  • First 10: Run direct, high‑touch paid pilots with 10 target retailers; handle 2–4 week implementations and deliver weekly KPI reviews tied to overstock/stockout reductions to convert pilots to year‑one contracts Metreecs platform.
  • First 50: Layer in ERP/POS/SI partners for referrals and co‑selling while an SDR + solutions engineering team runs targeted outreach using pilot case studies; standardize pilot terms and partner pipeline commitments Metreecs about/integrations.
  • First 100: Ship prebuilt connectors and vertical templates (apparel, FMCG, omnichannel) plus a lighter onboarding path for mid‑market; add a partner program for wholesalers/distributors, retail trade‑show presence, and a structured customer referral program to expand in EU and US while enterprise sales lands bespoke deals YC profile.

What is the rough total addressable market

Top-down context:

Global demand‑planning software is estimated around $4.8B in 2024, and inventory management software around $2–4B, while broader retail platform/analytics spend is much larger and growing Grand View Research Fortune Business Insights Global Market Insights MarketsandMarkets.

Bottom-up calculation:

Combining demand planning (~$4.8B) and inventory software (~$2–4B) gives ~$7–9B across industries; allocating ~25–35% to retail yields a retail‑specific TAM of roughly $2.0–3.2B in 2024 Grand View Research Mordor Intelligence. If ~40–60% of that retail TAM maps to multi‑store mid/enterprise chains, the SAM is about $0.8–2.0B.

Assumptions:

  • Retail captures ~25–35% of combined demand‑planning + inventory software spend; multi‑store mid/enterprise accounts for ~40–60% of retail spend.
  • Market‑report category overlaps were handled by using the narrow (demand + inventory) view for TAM and citing sources separately to avoid double counting.
  • Actual SAM for Metreecs depends on adoption rates of AI‑assisted forecasting/replenishment and sustainable ACVs by store/SKU complexity.

Who are some of their notable competitors