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orchard

Build a stronger consumer business with data and AI.

Orchard combines AI, services and software to help consumer brands grow revenue, improve margins and increase what their teams can accomplish.

  • Glamnetic
  • Spot & Tango
  • Magic Spoon
  • Lemme
  • Merit Beauty
  • Woof
  • Arame
  • BelliWelli
  • Happy Head
  • Happy Howl
  • INH
  • Kloo
  • OneSkin
  • ReflexMD
  • Rocco
  • Tire Agent
  • UCAN
  • Windmill
Hand holding a Glamnetic Gunmetal press-on nail kit.

“We've worked with the Orchard team for over five years across multiple businesses, and they've consistently delivered data insights that are not only sharp and actionable, but also truly impactful for our business decisions.”

Lukas NoritzschChief Financial Officer, Glamnetic

Read the case study

How we put AI and data to work.

Orchard is a boutique consulting firm. We work with consumer teams to identify where AI and data can help, then build and integrate the systems to put those opportunities into practice.

A connected view of the business.

We design and build data foundations that connect orders, ad spend, inventory and costs across customers, products and channels.

Make better decisions with data.

We investigate changes in performance and build reporting and AI analysis with evidence teams can check.

Systems and workflows that turn data into dollars.

We design, build and integrate apps, agents and workflows into the systems teams use every day.

The problems we help solve.

Acquire more profitable customers.

  • Put budget behind profitable customers.

    Connect acquisition spending to customer value and margin, so teams can allocate budget with better evidence.

  • Turn creative tests into better campaigns.

    Use AI to organize creative, identify patterns and help teams decide what to test next.

  • Respond faster to campaign changes.

    Automate recurring analysis and flag changes that need attention, so teams can respond sooner.

Turn more visits into valuable orders.

  • Help shoppers find the right product.

    Connect browsing, search and purchase behavior to improve product discovery and make recommendations more relevant.

  • Learn more from every storefront test.

    Bring experiments together and use AI to summarize findings, so teams can build on what they learn.

  • Build offers that protect your margin.

    Evaluate bundles, discounts and shipping offers against contribution and repeat purchases before scaling them.

Build customer relationships that compound.

  • Reach customers at the right moment.

    Connect purchase history to your marketing tools, so messages reflect what customers buy and when they may need it again.

  • Respond when customers start to lapse.

    Identify missed replenishment and subscription drop-off, then build workflows that prompt a relevant response.

  • Make every campaign inform the next.

    Test timing, messages and offers against repeat purchases and margin, then apply what works to the next campaign.

Turn wider distribution into profitable growth.

  • Spend less time reconciling retailer reports.

    Bring retailer and distributor data together, automate account reporting and highlight where teams need to act.

  • Put stock where demand is.

    Connect sales velocity, stock and orders to spot availability gaps and focus replenishment by retailer and location.

  • Know which promotions earn their keep.

    Bring trade spend, discounts and account costs into promotion planning, so wider distribution supports profitable growth.

Build a product portfolio customers keep choosing.

  • Invest in products with lasting demand.

    Use repeat purchases, contribution and customer behavior to decide what to launch, grow or retire.

  • Turn customer feedback into product decisions.

    Use AI to organize reviews, returns and service conversations into recurring needs your product team can address.

  • Simplify the range without losing value.

    Weigh demand and margin against inventory and operating complexity to focus the assortment and future investment.

Meet demand with less cash tied up.

  • Keep purchasing aligned with demand.

    Connect demand, available stock, inbound orders and lead times, so planners can adjust purchasing as conditions change.

  • Catch shortages and excess stock sooner.

    Flag risks by SKU and location, with cash implications in view, so teams can decide what to reorder, move or reduce.

  • Stop chasing every order by hand.

    Build workflows that track exceptions, route follow-ups and bring delivery risks to the people who can resolve them.

Build profitability into everyday decisions.

  • Find what’s putting pressure on margin.

    Connect sales with product, fulfillment, returns and channel costs to find where profit is being lost.

  • Give finance more time to look ahead.

    Automate recurring reporting and use AI to investigate changes in volume, price, mix and costs.

  • Keep forecasts connected to the business.

    Update forecasts with current trading and operating assumptions, so teams can weigh revenue, margin and cash before changing course.

Deliver better service as your brand grows.

  • Give agents the context to resolve issues.

    Bring order, delivery and customer history into the service workflow, so agents can help without searching across tools.

  • Take routine requests off the team’s plate.

    Use AI to answer common questions and assist with order requests, with clear rules for when a person takes over.

  • Fix the issues that keep coming back.

    Use AI to identify recurring causes across conversations and route findings to the teams that can fix them.

Trusted data for decisions, AI and operations.

We know the systems consumer brands run on. We build reliable pipelines and organize business data for analysis, apps and automations—giving AI the context it needs and taking integration work off internal teams.

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